Robustification of model predictive control. - Daniel E. Quevedo; Mario E. Salgado (CDC, 2000)

On the dynamics of receding horizon linear quadratic finite alphabet control loops. - Daniel E. Quevedo; José A. De Doná; Graham C. Goodwin (CDC, 2002)

An application of receding horizon control to estimation with quantized coefficients. - Graham C. Goodwin; Daniel E. Quevedo; José A. De Doná (ACC, 2003)

Audio quantization from a receding horizon control perspective. - Daniel E. Quevedo; Graham C. Goodwin (ACC, 2003)

Moving horizon Monte Carlo state estimation for linear systems with output quantization. - Hernan Haimovich; Graham C. Goodwin; Daniel E. Quevedo (CDC, 2003)

Minimizing down-link traffic in networked control systems via optimal control techniques. - Daniel E. Quevedo; Graham C. Goodwin; James S. Welsh (CDC, 2003)

Design issues arising in a networked control system architecture. - Daniel E. Quevedo; Graham C. Goodwin; James S. Welsh (CCA, 2004)

Control of EMI from switch-mode power supplies via multi-step optimization. - Daniel E. Quevedo; Graham C. Goodwin (ACC, 2004)

Multi-step optimal quantization in oversampled filter banks. - Daniel E. Quevedo; Graham C. Goodwin; Helmut Bölcskei (CDC, 2004)

A moving horizon approach to Networked Control system design. - Graham C. Goodwin; Hernan Haimovich; Daniel E. Quevedo; James S. Welsh (IEEE Trans. Autom. Control., 2004)

Multistep optimal analog-to-digital conversion. - Daniel E. Quevedo; Graham C. Goodwin (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Moving horizon design of discrete coefficient FIR filters. - Daniel E. Quevedo; Graham C. Goodwin (IEEE Trans. Signal Process., 2005)

Joint Data Detection and Channel Estimation for MIMO-OFDM Systems via EM Algorithm and Sphere Decoding. - Meng Wang; Daniel E. Quevedo; Graham C. Goodwin (GLOBECOM, 2006)

Quantization and Sampling of Not Necessarily Band-Limited Signals. - Milan S. Derpich; Daniel E. Quevedo; Graham C. Goodwin; Arie Feuer (ICASSP (3), 2006)

Packetized Predictive Control over Erasure Channels. - Daniel E. Quevedo; Eduardo I. Silva; Graham C. Goodwin (ACC, 2007)

Predictive Control of a Flying Capacitor Converter. - Eduardo I. Silva; Brendan P. McGrath; Daniel E. Quevedo; Graham C. Goodwin (ACC, 2007)

Optimal coding for bit-rate limited networked control systems in the presence of data loss. - Eduardo I. Silva; Daniel E. Quevedo; Graham C. Goodwin (CDC, 2007)

OFDMA Uplink PAR Reduction via Tone Reservation. - Meng Wang; Daniel E. Quevedo; Graham C. Goodwin; Brian S. Krongold (GLOBECOM, 2007)

Conditions for optimality of Naïve quantized finite horizon control. - Daniel E. Quevedo; Claus Müller; Graham C. Goodwin (Int. J. Control, 2007)

Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates. - Daniel E. Quevedo; Graham C. Goodwin; José A. De Doná (IEEE Trans. Commun., 2007)

A predictive power control scheme for energy efficient state estimation via wireless sensor networks. - Daniel E. Quevedo; Anders Ahlén (CDC, 2008)

Simple coding for achieving mean square stability over bit-rate limited channels. - Eduardo I. Silva; Milan S. Derpich; Jan Østergaard; Daniel E. Quevedo (CDC, 2008)

Conditions for optimality of scalar feedback quantization. - Milan S. Derpich; Daniel E. Quevedo; Graham C. Goodwin (ICASSP, 2008)

Architectures and coder design for networked control systems. - Graham C. Goodwin; Daniel E. Quevedo; Eduardo I. Silva (Autom., 2008)

Achieving the Quadratic Gaussian Rate-Distortion Function for Source Uncorrelated Distortions - Milan S. Derpich; Jan Østergaard; Daniel E. Quevedo (CoRR, 2008)

Control over unreliable networks affected by packet erasures and variable transmission delays. - Daniel E. Quevedo; Eduardo I. Silva; Graham C. Goodwin (IEEE J. Sel. Areas Commun., 2008)

Predictive Control in Power Electronics and Drives. - Patricio Cortes; Marian P. Kazmierkowski; Ralph Kennel; Daniel E. Quevedo; José R. Rodríguez (IEEE Trans. Ind. Electron., 2008)

On Optimal Perfect Reconstruction Feedback Quantizers. - Milan S. Derpich; Eduardo I. Silva; Daniel E. Quevedo; Graham C. Goodwin (IEEE Trans. Signal Process., 2008)

Quantized predictive control over erasure channels. - Daniel E. Quevedo; Jan Østergaard (CDC, 2009)

Predictive control formulation for achieving a reduced finite control set in flying capacitor converters. - Ricardo P. Aguilera; Daniel E. Quevedo (ECC, 2009)

Innovations-based state estimation with wireless sensor networks. - Daniel E. Quevedo; Anders Ahlén; Jan Østergaard; Graham C. Goodwin (ECC, 2009)

On the design of control systems over unreliable channels. - Eduardo I. Silva; Graham C. Goodwin; Daniel E. Quevedo (ECC, 2009)

Predictive power control and multiple-description coding for wireless sensor networks. - Jan Østergaard; Daniel E. Quevedo; Anders Ahlén (ICASSP, 2009)

Low delay moving-horizon multiple-description audio coding forwireless hearing aids. - Jan Østergaard; Daniel E. Quevedo; Jesper Jensen 001 (ICASSP, 2009)

Model Predictive Control of an Asymmetric Flying Capacitor Converter. - Pablo Lezana; Ricardo P. Aguilera; Daniel E. Quevedo (IEEE Trans. Ind. Electron., 2009)

Quantization of Filter Bank Frame Expansions Through Moving Horizon Optimization. - Daniel E. Quevedo; Helmut Bölcskei; Graham C. Goodwin (IEEE Trans. Signal Process., 2009)

On anytime control of nonlinear processes through calculation of control sequences. - Vijay Gupta 001; Daniel E. Quevedo (CDC, 2010)

Predictive power control for dynamic state estimation over wireless sensor networks with relays. - Jan Østergaard; Daniel E. Quevedo; Anders Ahlén (EUSIPCO, 2010)

An introduction to the control of switching electronic systems. - Graham C. Goodwin; David Q. Mayne; Keng-Yuan Chen; Colin Coates; Galina Mirzaeva; Daniel E. Quevedo (Annu. Rev. Control., 2010)

Control system design subject to SNR constraints. - Eduardo I. Silva; Graham C. Goodwin; Daniel E. Quevedo (Autom., 2010)

Energy efficient state estimation with wireless sensors through the use of predictive power control and coding. - Daniel E. Quevedo; Anders Ahlén; Jan Østergaard (IEEE Trans. Signal Process., 2010)

Stability of sequence-based anytime control with Markovian processor availability. - Daniel E. Quevedo; Vijay Gupta 001 (AuCC, 2011)

Sparse command generator for remote control. - Masaaki Nagahara; Daniel E. Quevedo; Jan Østergaard; Takahiro Matsuda 001; Kazunori Hayashi (ICCA, 2011)

Multiple descriptions for packetized predictive control over erasure channels. - Jan Østergaard; Daniel E. Quevedo (ICCA, 2011)

Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems. - Marcus Reble; Daniel E. Quevedo; Frank Allgöwer (ICCA, 2011)

Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization. - Yumiko Ishido; Kiyotsugu Takaba; Daniel E. Quevedo (Syst. Control. Lett., 2011)

How Good is Quantized Model Predictive Control With Horizon One? - Claus Müller; Daniel E. Quevedo; Graham C. Goodwin (IEEE Trans. Autom. Control., 2011)

Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts. - Daniel E. Quevedo; Dragan Nesic (IEEE Trans. Autom. Control., 2011)

Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss. - Daniel E. Quevedo; Jan Østergaard; Dragan Nesic (IEEE Trans. Autom. Control., 2011)

Real-Time Perceptual Moving-Horizon Multiple-Description Audio Coding. - Jan Østergaard; Daniel E. Quevedo; Jesper Jensen 001 (IEEE Trans. Signal Process., 2011)

A unifying framework for stability in MPC using a generalized integral terminal cost. - Marcus Reble; Daniel E. Quevedo; Frank Allgöwer (ACC, 2012)

Smart energy-aware sensors for event-based control. - Nicolas Cardoso de Castro; Daniel E. Quevedo; Federica Garin; Carlos Canudas de Wit (CDC, 2012)

Packetized predictive control for rate-limited networks via sparse representation. - Masaaki Nagahara; Daniel E. Quevedo; Jan Østergaard (CDC, 2012)

Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms. - Marcus Reble; Daniel E. Quevedo; Frank Allgöwer (CDC, 2012)

Compressive sampling for networked feedback control. - Masaaki Nagahara; Daniel E. Quevedo; Takahiro Matsuda 001; Kazunori Hayashi (ICASSP, 2012)

On Kalman filtering over fading wireless channels with controlled transmission powers. - Daniel E. Quevedo; Anders Ahlén; Alex S. Leong; Subhrakanti Dey (Autom., 2012)

Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses. - Daniel E. Quevedo; Dragan Nesic (Autom., 2012)

On the use of a relay for Kalman filtering over packet dropping links. - Alex S. Leong; Daniel E. Quevedo (ACC, 2013)

Online sensor transmission power schedule for remote state estimation. - Yuzhe Li; Daniel E. Quevedo; Vincent K. N. Lau; Ling Shi 001 (CDC, 2013)

Robustness of networked control systems with multiple actuator-links and bounded packet dropouts. - Merid Ljesnjanin; Daniel E. Quevedo; Dragan Nesic (CDC, 2013)

Maximum hands-off control and L1 optimality. - Masaaki Nagahara; Daniel E. Quevedo; Dragan Nesic (CDC, 2013)

Multiple Description Coding for Closed Loop Systems over Erasure Channels. - Jan Østergaard; Daniel E. Quevedo (DCC, 2013)

Dual-stage model predictive control for Flying Capacitor Converters. - Pablo Lezana; Margarita Norambuena; Ricardo P. Aguilera; Daniel E. Quevedo (IECON, 2013)

Adaptive controller placement for wireless sensor-actuator networks with erasure channels. - Daniel E. Quevedo; Karl Henrik Johansson; Anders Ahlén; Isabel Jurado (Autom., 2013)

Sparse Representations for Packetized Predictive Networked Control. - Masaaki Nagahara; Daniel E. Quevedo (CoRR, 2013)

Maximum-Hands-Off Control and L1 Optimality. - Masaaki Nagahara; Daniel E. Quevedo; Dragan Nesic (CoRR, 2013)

Sparsely-Packetized Predictive Control by Orthogonal Matching Pursuit. - Masaaki Nagahara; Daniel E. Quevedo; Jan Østergaard (CoRR, 2013)

Stability Analysis of Quadratic MPC With a Discrete Input Alphabet. - Ricardo P. Aguilera; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2013)

State Estimation Over Sensor Networks With Correlated Wireless Fading Channels. - Daniel E. Quevedo; Anders Ahlén; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2013)

Sequence-Based Anytime Control. - Daniel E. Quevedo; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2013)

Correction to "Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss". - Daniel E. Quevedo; Jan Østergaard; Eduardo I. Silva; Dragan Nesic (IEEE Trans. Autom. Control., 2013)

Finite-Control-Set Model Predictive Control With Improved Steady-State Performance. - Ricardo P. Aguilera; Pablo Lezana; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2013)

Optimal Periodic Transmission Power Schedules for Remote Estimation of ARMA Processes. - Yuzhe Li; Daniel E. Quevedo; Vincent K. N. Lau; Ling Shi 001 (IEEE Trans. Signal Process., 2013)

Reference design for predictive control of modular multilevel converters. - Andres Lopez; Daniel E. Quevedo; Ricardo P. Aguilera; Tobias Geyer; Nikolaos Oikonomou (AuCC, 2014)

A jump filter for uncertain dynamic systems with dropouts. - Daniel Dolz; Daniel E. Quevedo; Ignacio Peñarrocha; Roberto Sanchis 001 (CDC, 2014)

Multi-sensor transmission power scheduling for remote state estimation under SINR model. - Yuzhe Li; Daniel E. Quevedo; Vincent K. N. Lau; Ling Shi 001 (CDC, 2014)

Packetized MPC with dynamic scheduling constraints and bounded packet dropouts. - Merid Ljesnjanin; Daniel E. Quevedo; Dragan Nesic (Autom., 2014)

Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation. - Yuzhe Li; Daniel E. Quevedo; Vincent K. N. Lau; Subhrakanti Dey; Ling Shi 001 (CoRR, 2014)

Hands-Off Control as Green Control. - Masaaki Nagahara; Daniel E. Quevedo; Dragan Nesic (CoRR, 2014)

Sparse Packetized Predictive Control for Networked Control Over Erasure Channels. - Masaaki Nagahara; Daniel E. Quevedo; Jan Østergaard (IEEE Trans. Autom. Control., 2014)

Stochastic Stability of Event-Triggered Anytime Control. - Daniel E. Quevedo; Vijay Gupta 001; Wann-Jiun Ma; Serdar Yüksel (IEEE Trans. Autom. Control., 2014)

Stability of Sequence-Based Control With Random Delays and Dropouts. - Daniel E. Quevedo; Isabel Jurado (IEEE Trans. Autom. Control., 2014)

An Optimal Transmission Strategy for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgements. - Mojtaba Nourian; Alex S. Leong; Subhrakanti Dey; Daniel E. Quevedo (IEEE Trans. Control. Netw. Syst., 2014)

Power Control and Coding Formulation for State Estimation With Wireless Sensors. - Daniel E. Quevedo; Jan Østergaard; Anders Ahlén (IEEE Trans. Control. Syst. Technol., 2014)

Event-triggered anytime control with two controllers. - K. Q. Huang; Thuy V. Dang; Keck Voon Ling; Daniel E. Quevedo (CDC, 2015)

Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation. - Yuzhe Li; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (CDC, 2015)

Uniform Global Asymptotic Stability of Networked Control Systems affected with packet dropouts and scheduling issues. - Merid Ljesnjanin; Dragan Nesic; Daniel E. Quevedo (CDC, 2015)

Co-design for control and scheduling over wireless industrial control networks. - Edwin G. W. Peters; Daniel E. Quevedo; Minyue Fu 001 (CDC, 2015)

To wait or to drop: On the optimal number of retransmissions in wireless control. - Burak Demirel; Arda Aytekin; Daniel E. Quevedo; Mikael Johansson 001 (ECC, 2015)

On the optimality of threshold policies in event triggered estimation with packet drops. - Alex S. Leong; Subhrakanti Dey; Daniel E. Quevedo (ECC, 2015)

Multi-sensor estimation using energy harvesting and energy sharing. - Steffi Knorn; Subhrakanti Dey; Anders Ahlén; Daniel E. Quevedo (ICC, 2015)

Predictive direct power control for grid connected power converters with dc-link voltage dynamic reference design. - Sergio Vazquez; Abraham Marquez 001; Ricardo P. Aguilera; Daniel E. Quevedo; José I. Leon; Leopoldo García Franquelo (ICIT, 2015)

Data-driven power control for state estimation: A Bayesian inference approach. - Junfeng Wu 001; Yuzhe Li; Daniel E. Quevedo; Vincent K. N. Lau; Ling Shi 001 (Autom., 2015)

On the trade-off between control performance and communication cost in event-triggered control. - Burak Demirel; Vijay Gupta 001; Daniel E. Quevedo; Mikael Johansson 001 (CoRR, 2015)

On the Reachability of Networked Systems. - Mohsen Zamani; Brett Ninness; Daniel E. Quevedo (CoRR, 2015)

Stochastic MPC with applications to process control. - Isabel Jurado; Pablo Millán 001; Daniel E. Quevedo; Francisco R. Rubio (Int. J. Control, 2015)

An H∞ suboptimal robust control approach for systems with uncertainties and data dropouts. - Isabel Jurado; Manuel G. Ortega 001; Daniel E. Quevedo; Francisco R. Rubio (Int. J. Syst. Sci., 2015)

Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach. - Yuzhe Li; Ling Shi 001; Peng Cheng 001; Jiming Chen 001; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2015)

Anytime Control Using Input Sequences With Markovian Processor Availability. - Daniel E. Quevedo; Wann-Jiun Ma; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2015)

Multiple-Loop Self-Triggered Model Predictive Control for Network Scheduling and Control. - Erik Henriksson; Daniel E. Quevedo; Edwin G. W. Peters; Henrik Sandberg; Karl Henrik Johansson (IEEE Trans. Control. Syst. Technol., 2015)

Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters. - Sergio Vazquez; Abraham Marquez 001; Ricardo P. Aguilera; Daniel E. Quevedo; Jose Ignacio León Galván; Leopoldo García Franquelo (IEEE Trans. Ind. Electron., 2015)

Switched Model Predictive Control for Improved Transient and Steady-State Performance. - Ricardo P. Aguilera; Pablo Lezana; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2015)

Predictive Control of Power Converters: Designs With Guaranteed Performance. - Ricardo P. Aguilera; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2015)

Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing. - Steffi Knorn; Subhrakanti Dey; Anders Ahlén; Daniel E. Quevedo (IEEE Trans. Signal Process., 2015)

On the reachability property for networks of linear time-invariant subsystems. - Mohsen Zamani; Brett Ninness; Daniel E. Quevedo (AuCC, 2016)

A secure cross-layer design for remote estimation under DoS attack: When multi-sensor meets multi-channel. - Kemi Ding; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (CDC, 2016)

Unified approach to controller and MMSE estimator design with intermittent communications. - Edwin G. W. Peters; Damián Marelli; Minyue Fu 001; Daniel E. Quevedo (CDC, 2016)

Stable stochastic predictive controller under unreliable up-link. - Prabhat Kumar Mishra; Debasish Chatterjee; Daniel E. Quevedo (ECC, 2016)

Optimal transmission policies for variance based event triggered estimation with an energy harvesting sensor. - Alex S. Leong; Subhrakanti Dey; Daniel E. Quevedo (EUSIPCO, 2016)

Fast multistep finite control set model predictive control for transient operation of power converters. - Roky Baidya; Ricardo P. Aguilera; Pablo Acuña; Ramón A. Delgado; Tobias Geyer; Daniel E. Quevedo; Toit Mouton (IECON, 2016)

Threshold optimization of event-triggered multi-loop control systems. - Burak Demirel; Vijay Gupta 001; Daniel E. Quevedo; Mikael Johansson 001 (WODES, 2016)

Predictive control, embedded cyberphysical systems and systems of systems - A perspective. - Sergio Lucia; Markus J. Kögel; Pablo Zometa; Daniel E. Quevedo; Rolf Findeisen (Annu. Rev. Control., 2016)

Robust stability of a class of Networked Control Systems. - Merid Ljesnjanin; Dragan Nesic; Daniel E. Quevedo (Autom., 2016)

Discrete-time hands-off control by sparse optimization. - Masaaki Nagahara; Jan Østergaard; Daniel E. Quevedo (EURASIP J. Adv. Signal Process., 2016)

Multiple descriptions for packetized predictive control. - Jan Østergaard; Daniel E. Quevedo (EURASIP J. Adv. Signal Process., 2016)

Characterization of maximum hands-off control. - Debasish Chatterjee; Masaaki Nagahara; Daniel E. Quevedo; K. S. Mallikarjuna Rao (Syst. Control. Lett., 2016)

Kalman Filtering With Relays Over Wireless Fading Channels. - Alex S. Leong; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2016)

On Network Topology Reconfiguration for Remote State Estimation. - Alex S. Leong; Daniel E. Quevedo; Anders Ahlén; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2016)

Maximum Hands-Off Control: A Paradigm of Control Effort Minimization. - Masaaki Nagahara; Daniel E. Quevedo; Dragan Nesic (IEEE Trans. Autom. Control., 2016)

Controller and Scheduler Codesign for Feedback Control Over IEEE 802.15.4 Networks. - Edwin G. W. Peters; Daniel E. Quevedo; Minyue Fu 001 (IEEE Trans. Control. Syst. Technol., 2016)

Shaped Gaussian Dictionaries for Quantized Networked Control Systems With Correlated Dropouts. - Edwin G. W. Peters; Daniel E. Quevedo; Jan Østergaard (IEEE Trans. Signal Process., 2016)

Game-theoretic pricing and selection with fading channels. - Yuqing Ni; Alex S. Leong; Daniel E. Quevedo; Ling Shi 001 (ASCC, 2017)

Sparsity-promoting iterative learning control for resource-constrained control systems. - Burak Demirel; Euhanna Ghadimi; Daniel E. Quevedo (CDC, 2017)

State estimation over Markovian packet dropping links in the presence of an eavesdropper. - Alex S. Leong; Daniel E. Quevedo; Subhrakanti Dey (CDC, 2017)

A multi-channel transmission schedule for remote state estimation under DoS attacks. - Kemi Ding; Yuzhe Li; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (Autom., 2017)

Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels. - Daniel Dolz; Daniel E. Quevedo; Ignacio Peñarrocha; Alex S. Leong; Roberto Sanchis 001 (Autom., 2017)

Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels [Extended]. - Daniel Dolz; Daniel E. Quevedo; Ignacio Peñarrocha; Alex S. Leong; Roberto Sanchis 001 (CoRR, 2017)

Remote State Estimation over Packet Dropping Links in the Presence of an Eavesdropper. - Alex S. Leong; Daniel E. Quevedo; Daniel Dolz; Subhrakanti Dey (CoRR, 2017)

Trade-Offs in Stochastic Event-Triggered Control. - Burak Demirel; Alex S. Leong; Vijay Gupta 001; Daniel E. Quevedo (CoRR, 2017)

Stochastic Game in Remote Estimation Under DoS Attacks. - Kemi Ding; Subhrakanti Dey; Daniel E. Quevedo; Ling Shi 001 (IEEE Control. Syst. Lett., 2017)

Output Feedback Stable Stochastic Predictive Control With Hard Control Constraints. - Prabhat Kumar Mishra; Debasish Chatterjee; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2017)

Improved results on transmission power control for remote state estimation. - Junfeng Wu 001; Yuzhe Li; Daniel E. Quevedo; Ling Shi 001 (Syst. Control. Lett., 2017)

On the Trade-Off Between Communication and Control Cost in Event-Triggered Dead-Beat Control. - Burak Demirel; Vijay Gupta 001; Daniel E. Quevedo; Mikael Johansson 001 (IEEE Trans. Autom. Control., 2017)

Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops. - Alex S. Leong; Subhrakanti Dey; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2017)

Power Control of an Energy Harvesting Sensor for Remote State Estimation. - Yuzhe Li; Fan Zhang 016; Daniel E. Quevedo; Vincent K. N. Lau; Subhrakanti Dey; Ling Shi 001 (IEEE Trans. Autom. Control., 2017)

SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach. - Yuzhe Li; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (IEEE Trans. Control. Netw. Syst., 2017)

Energy-Aware Radio Chip Management for Wireless Control. - Nicolas Cardoso de Castro; Daniel E. Quevedo; Federica Garin; Carlos Canudas-de-Wit (IEEE Trans. Control. Syst. Technol., 2017)

A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems. - Yuzhe Li; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (IEEE Trans. Signal Inf. Process. over Networks, 2017)

A fixed-point implementation of explicit MPC laws. - Moritz Schulze Darup; Adrian Redder; Daniel E. Quevedo (ACC, 2018)

On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers. - Alex S. Leong; Adrian Redder; Daniel E. Quevedo; Subhrakanti Dey (ECC, 2018)

Transmission scheduling for remote state estimation and control with an energy harvesting sensor. - Alex S. Leong; Subhrakanti Dey; Daniel E. Quevedo (Autom., 2018)

Sparse and constrained stochastic predictive control for networked systems. - Prabhat Kumar Mishra; Debasish Chatterjee; Daniel E. Quevedo (Autom., 2018)

Towards Encrypted MPC for Linear Constrained Systems. - Moritz Schulze Darup; Adrian Redder; Iman Shames; Farhad Farokhi; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2018)

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. - Burak Demirel; Arunselvan Ramaswamy; Daniel E. Quevedo; Holger Karl (IEEE Control. Syst. Lett., 2018)

Stabilizing Stochastic Predictive Control Under Bernoulli Dropouts. - Prabhat Kumar Mishra; Debasish Chatterjee; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2018)

Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control. - Burak Demirel; Euhanna Ghadimi; Daniel E. Quevedo; Mikael Johansson 001 (IEEE Trans. Control. Netw. Syst., 2018)

Event-Triggered Quantized Communication-Based Distributed Convex Optimization. - Shuai Liu 001; Lihua Xie 001; Daniel E. Quevedo (IEEE Trans. Control. Netw. Syst., 2018)

Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost. - Lingying Huang; Alex S. Leong; Daniel E. Quevedo; Ling Shi 001 (ACC, 2019)

On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. - Navid Noroozi; Roxanne Jackson; Daniel E. Quevedo; Fabian R. Wirth; Rolf Findeisen (CDC, 2019)

Combined control and communication scheduling for constrained system using robust output feedback MPC. - Markus J. Kögel; Daniel E. Quevedo; Rolf Findeisen (ECC, 2019)

Ausgewählte Beiträge des GMA-Fachausschusses 1.50. - Knut Graichen; Daniel E. Quevedo (Autom., 2019)

Deep reinforcement learning for scheduling in large-scale networked control systems. - Adrian Redder; Arunselvan Ramaswamy; Daniel E. Quevedo (CoRR, 2019)

An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper. - Jingyi Lu; Alex S. Leong; Daniel E. Quevedo (CoRR, 2019)

Encrypted Cooperative Control Based on Structured Feedback. - Moritz Schulze Darup; Adrian Redder; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2019)

Information Bounds for State Estimation in the Presence of an Eavesdropper. - Alex S. Leong; Daniel E. Quevedo; Daniel Dolz; Subhrakanti Dey (IEEE Control. Syst. Lett., 2019)

Stability Analysis of Event-Triggered Anytime Control With Multiple Control Laws. - Thuy V. Dang; Keck Voon Ling; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2019)

Tradeoffs in Stochastic Event-Triggered Control. - Burak Demirel; Alex S. Leong; Vijay Gupta 001; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2019)

Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing. - Steffi Knorn; Subhrakanti Dey; Anders Ahlén; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2019)

Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper. - Alex S. Leong; Daniel E. Quevedo; Daniel Dolz; Subhrakanti Dey (IEEE Trans. Autom. Control., 2019)

DoS Attacks on Remote State Estimation With Asymmetric Information. - Kemi Ding; Xiaoqiang Ren; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (IEEE Trans. Control. Netw. Syst., 2019)

Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework. - Yuqing Ni; Alex S. Leong; Daniel E. Quevedo; Ling Shi 001 (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach. - Ziyang Guo; Dawei Shi; Daniel E. Quevedo; Ling Shi 001 (IEEE Trans. Signal Process., 2019)

Maximum hands-off feedback control for finite-time stabilization. - Yogesh Kumar; Sukumar Srikant; Masaaki Nagahara; Debasish Chatterjee; Daniel E. Quevedo (CDC, 2020)

Time-based transmission power policies for energy-efficient wireless control of nonlinear systems. - Vineeth S. Varma; Romain Postoyan; Daniel E. Quevedo; Irinel-Constantin Morarescu (CDC, 2020)

A Game-Theoretic Approach to Covert Communications. - Alex S. Leong; Daniel E. Quevedo; Subhrakanti Dey (PIMRC, 2020)

Defensive deception against reactive jamming attacks in remote state estimation. - Kemi Ding; Xiaoqiang Ren; Daniel E. Quevedo; Subhrakanti Dey; Ling Shi 001 (Autom., 2020)

Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems. - Alex S. Leong; Arunselvan Ramaswamy; Daniel E. Quevedo; Holger Karl; Ling Shi 001 (Autom., 2020)

Stochastic predictive control under intermittent observations and unreliable actions. - Prabhat Kumar Mishra; Debasish Chatterjee; Daniel E. Quevedo (Autom., 2020)

Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. - Marius Protte; René Fahr; Daniel E. Quevedo (CoRR, 2020)

Encrypted control for networked systems - An illustrative introduction and current challenges. - Moritz Schulze Darup; Andreea B. Alexandru; Daniel E. Quevedo; George J. Pappas (CoRR, 2020)

Design of periodic scheduling and control for networked systems under random data loss. - Atreyee Kundu; Daniel E. Quevedo (CoRR, 2020)

Anytime Control with Markovian Computation and Communication Resources. - Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (CoRR, 2020)

Stabilizing Scheduling Policies for Networked Control Systems. - Atreyee Kundu; Daniel E. Quevedo (IEEE Trans. Control. Netw. Syst., 2020)

Encryption scheduling for remote state estimation under an operation constraint. - Lingying Huang; Kemi Ding; Alex S. Leong; Daniel E. Quevedo; Ling Shi 001 (Autom., 2021)

Co-design of Control and Scheduling in Networked Systems under Denial-of-Service attacks. - Jingyi Lu; Daniel E. Quevedo (CoRR, 2021)

Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels. - Wanchun Liu; Daniel E. Quevedo; Karl Henrik Johansson; Branka Vucetic; Yonghui Li 001 (CoRR, 2021)

Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control. - Wanchun Liu; Kang Huang; Daniel E. Quevedo; Branka Vucetic; Yonghui Li 001 (CoRR, 2021)

Transmission power policies for energy-efficient wireless control of nonlinear system. - Vineeth S. Varma; Romain Postoyan; Daniel E. Quevedo; Irinel-Constantin Morarescu (CoRR, 2021)

Remote State Estimation in the Presence of an Active Eavesdropper. - Kemi Ding; Xiaoqiang Ren; Alex S. Leong; Daniel E. Quevedo; Ling Shi 001 (IEEE Trans. Autom. Control., 2021)

Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning. - Arunselvan Ramaswamy; Shalabh Bhatnagar; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2021)

On Periodic Scheduling and Control for Networked Systems Under Random Data Loss. - Atreyee Kundu; Daniel E. Quevedo (IEEE Trans. Control. Netw. Syst., 2021)

Privacy-Preserving Correlated Data Publication: Privacy Analysis and Optimal Noise Design. - Mingjing Sun; Chengcheng Zhao; Jianping He 001; Peng Cheng 001; Daniel E. Quevedo (IEEE Trans. Netw. Sci. Eng., 2021)

H2 Controller Design for Multi-Agent Systems with Markovian Switching Topologies. - Robert C. Ballam; Aaron McFadyen; Daniel E. Quevedo (ANZCC, 2022)

Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation. - Justin M. Kennedy; Jason J. Ford; Daniel E. Quevedo (ANZCC, 2022)

Tree-based Model Predictive Control Strategy for Software Rejuvenation. - Teresa Arauz; José María Maestre 001; Daniel E. Quevedo; Eduardo Fernández Camacho (CDC, 2022)

On extended state estimation for nonlinear uncertain systems with round-robin protocol. - Yong Xu 003; Weijun Lv; Weiqun Lin; Renquan Lu; Daniel E. Quevedo (Autom., 2022)

Multi-step attack detection in industrial control systems using causal analysis. - Zahra Jadidi; Joshua Hagemann; Daniel E. Quevedo (Comput. Ind., 2022)

Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels. - Wanchun Liu; Daniel E. Quevedo; Branka Vucetic; Yonghui Li 001 (CoRR, 2022)

Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation. - Alex S. Leong; Daniel E. Quevedo (CoRR, 2022)

Remote State Estimation with Privacy Against Eavesdroppers. - Matthew Crimson; Justin M. Kennedy; Daniel E. Quevedo (CoRR, 2022)

Stability Conditions for Remote State Estimation of Multiple Systems Over Semi-Markov Fading Channels. - Wanchun Liu; Daniel E. Quevedo; Branka Vucetic; Yonghui Li 001 (IEEE Control. Syst. Lett., 2022)

Fast Hands-Off Control Using ADMM Real-Time Iterations. - Moritz Schulze Darup; Gerrit Book; Daniel E. Quevedo; Masaaki Nagahara (IEEE Trans. Autom. Control., 2022)

Remote State Estimation With Smart Sensors Over Markov Fading Channels. - Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Karl Henrik Johansson; Branka Vucetic (IEEE Trans. Autom. Control., 2022)

Anytime Control Under Practical Communication Models. - Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (IEEE Trans. Autom. Control., 2022)

Coding for Secrecy in Remote State Estimation With an Adversary. - Marvin Lücke; Jingyi Lu; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2022)

Optimization Over Time-Varying Networks and Unbounded Information Delays. - Arunselvan Ramaswamy; Adrian Redder; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2022)

Adaptive Resilient Control of Cyber-Physical Systems Under Actuator and Sensor Attacks. - Yue Zhao; Xin Du; Chunjie Zhou; Yu-Chu Tian; Xiaoya Hu; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2022)

Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (ICC, 2023)

Local Averaging for Consensus Over Communication Links With Random Dropouts. - Robert C. Ballam; Aaron McFadyen; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2023)

Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels. - Vineeth S. Varma; Romain Postoyan; Daniel E. Quevedo; Irinel-Constantin Morarescu (IEEE Control. Syst. Lett., 2023)

Stealthy Hacking and Secrecy of Controlled State Estimation Systems With Random Dropouts. - Jingyi Lu; Daniel E. Quevedo; Vijay Gupta 001; Subhrakanti Dey (IEEE Trans. Autom. Control., 2023)

Special issue on control technology for networked and distributed robotics. - Masaaki Nagahara; Kai Cai; Debasish Chatterjee; Nikhil Chopra; Takeshi Hatanaka; Yutaka Hori; Hideaki Ishii; Daniel E. Quevedo; Michel A. Reniers (Adv. Robotics, 2023)

Special issue on control technology for networked and distributed robotics (Part II). - Masaaki Nagahara; Kai Cai; Debasish Chatterjee; Nikhil Chopra; Takeshi Hatanaka; Yutaka Hori; Hideaki Ishii; Daniel E. Quevedo; Michel A. Reniers (Adv. Robotics, 2023)

A jointly optimal design of control and scheduling in networked systems under denial-of-service attacks. - Jingyi Lu; Daniel E. Quevedo (Autom., 2023)

Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint. - Lixin Yang 004; Yong Xu 003; Zenghong Huang; Hong-Xia Rao; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2023)

Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems. - Vineeth Satheeskumar Varma; Romain Postoyan; Daniel E. Quevedo; Irinel-Constantin Morarescu (IEEE Trans. Autom. Control., 2023)

Deception Attacks on Remote Estimation With Disclosure and Disruption Resources. - Yuzhe Li; Yake Yang; Zhengen Zhao; Jing Zhou; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2023)

Stability Conditions for Remote State Estimation of Multiple Systems Over Multiple Markov Fading Channels. - Wanchun Liu; Daniel E. Quevedo; Karl Henrik Johansson; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Autom. Control., 2023)

Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management. - Yang Li 009; D. Mahinda Vilathgamuwa; Daniel E. Quevedo; Chih Feng Lee; Changfu Zou (IEEE Trans. Control. Syst. Technol., 2023)

Centralized Model Predictive Control With Human-Driver Interaction for Platooning. - Justin M. Kennedy; Julian Heinovski; Daniel E. Quevedo; Falko Dressler (IEEE Trans. Veh. Technol., 2023)

Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation. - Yong Xu 003; Haoxiang Xiang; Lixin Yang 004; Renquan Lu; Daniel E. Quevedo (Autom., 2023)

Semantic-Aware Transmission Scheduling: A Monotonicity-Driven Deep Reinforcement Learning Approach. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (IEEE Commun. Lett., 2023)

Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes. - Alex S. Leong; Daniel E. Quevedo; Wanchun Liu (IEEE Trans. Autom. Control., 2023)

Extending Direct Data-Driven Predictive Control Towards Systems with Finite Control Sets. - Manuel Klädtke; Moritz Schulze Darup; Daniel E. Quevedo (ECC, 2024)

Thompson sampling for networked control over unknown channels. - Wanchun Liu; Alex S. Leong; Daniel E. Quevedo (Autom., 2024)

Wireless Human-Machine Collaboration in Industry 5.0. - Gaoyang Pang; Wanchun Liu; Dusit Niyato; Daniel E. Quevedo; Branka Vucetic; Yonghui Li 001 (CoRR, 2024)

Structure-Enhanced DRL for Optimal Transmission Scheduling. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Saeed R. Khosravirad; Yonghui Li 001; Branka Vucetic (IEEE Trans. Wirel. Commun., 2024)

Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control-Scheduling Approach. - Zihuai Zhao; Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (IEEE Internet Things J., 2024)

Time-Stamp Attacks on Remote State Estimation in Cyber-Physical Systems. - Fuyi Qu; Nachuan Yang; Hao Liu 012; Yuzhe Li; Daniel E. Quevedo (IEEE Trans. Control. Netw. Syst., 2024)

The Vulnerability Analysis of Remote Estimation With Batch-Data Detectors Against Integrity Attacks. - Yake Yang; Yuzhe Li; Yang Shi 001; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2024)

Innovation-Based Remote State Estimation Secrecy With No Acknowledgments. - Justin M. Kennedy; Jason J. Ford; Daniel E. Quevedo; Falko Dressler (IEEE Trans. Autom. Control., 2024)

Remote state estimation with privacy against active eavesdroppers. - Matthew Crimson; Justin M. Kennedy; Daniel E. Quevedo (Autom., 2025)

Remote State Estimation With Discounted Multi-Armed Bandits for Non-Stationary Channel Selection. - Jiuzhou Zhang; Wei Huo; Xiaomeng Chen; Daniel E. Quevedo; Ling Shi 001 (IEEE Control. Syst. Lett., 2025)

Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey. - Xinhao Yan; Guanzhong Zhou; Daniel E. Quevedo; Carlos Murguia; Bo Chen 003; Hailong Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation. - Teresa Arauz; José M. Maestre 001; Paula Chanfreut; Daniel E. Quevedo; Eduardo F. Camacho (IEEE Trans. Emerg. Top. Comput., 2025)

Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks. - Lixin Yang 004; Weijun Lv; Yong Xu 003; Jie Tao; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2025)

Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation. - Yuxing Zhong; Yuzhe Li; Daniel E. Quevedo; Ling Shi 001 (CoRR, 2025)

Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control. - Gaoyang Pang; Kang Huang; Daniel E. Quevedo; Branka Vucetic; Yonghui Li 001; Wanchun Liu (IEEE Trans. Cybern., 2025)