Mario Sznaier

Orcid: 0000-0003-4439-3988

According to our database1, Mario Sznaier authored at least 222 papers between 1989 and 2024.

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Bibliography

2024
Efficient Identification of Error-in-Variables Switched Systems Using a Riemannian Embedding.
IEEE Trans. Autom. Control., February, 2024

Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise.
CoRR, 2024

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization.
CoRR, 2024

2023
Bounding the Distance to Unsafe Sets With Convex Optimization.
IEEE Trans. Autom. Control., December, 2023

Robust Data-Driven Safe Control Using Density Functions.
IEEE Control. Syst. Lett., 2023

Certified Control Oriented Learning: A Robust Predictor-Based Approach.
IEEE Control. Syst. Lett., 2023

Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems Using Quadratic Matrix Inequalities.
IEEE Control. Syst. Lett., 2023

Data-Driven Superstabilization of Linear Systems under Quantization.
CoRR, 2023

Cross-view Action Recognition via Contrastive View-invariant Representation.
CoRR, 2023

Quantifying the Safety of Trajectories using Peak-Minimizing Control.
CoRR, 2023

Peak Estimation of Hybrid Systems with Convex Optimization.
CoRR, 2023

Data-driven quadratic stabilization and LQR control of LTI systems.
Autom., 2023

Learning Object-Centric Dynamic Modes from Video and Emerging Properties.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Inferring Relational Potentials in Interacting Systems.
Proceedings of the International Conference on Machine Learning, 2023

On the Hardness of Learning to Stabilize Linear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Peak Value-at-Risk Estimation for Stochastic Differential Equations Using Occupation Measures.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Peak Estimation of Time Delay Systems Using Occupation Measures.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Data-Driven Control of Positive Linear Systems using Linear Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Euclidean Distance Bounds for Linear Matrix Inequalities Analytic Centers Using a Novel Bound on the Lambert Function.
SIAM J. Control. Optim., 2022

SAIF: Sparse Adversarial and Interpretable Attack Framework.
CoRR, 2022

Superstabilizing Control of Discrete-Time ARX Models under Error in Variables.
CoRR, 2022

Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables.
CoRR, 2022

Decomposed structured subsets for semidefinite and sum-of-squares optimization.
Autom., 2022

A convex optimization approach to synthesizing state feedback data-driven controllers for switched linear systems.
Autom., 2022

Dynamics-aware Representation Learning via Multivariate Time Series Transformers.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Fast Two-View Motion Segmentation Using Christoffel Polynomials.
Proceedings of the Computer Vision - ECCV 2022, 2022

Certified Control-Oriented Learning: A Coprime Factorization Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Bounding the Distance of Closest Approach to Unsafe Sets with Occupation Measures.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-Driven Superstabilizing Control of Error-in-Variables Discrete-Time Linear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Continuous-time model identification: application on a behavioural (miLife) study.
Int. J. Control, 2021

Control Oriented Learning in the Era of Big Data.
IEEE Control. Syst. Lett., 2021

Peak Estimation Recovery and Safety Analysis.
IEEE Control. Syst. Lett., 2021

A Semi-Algebraic Optimization Approach to Data-Driven Control of Continuous-Time Nonlinear Systems.
IEEE Control. Syst. Lett., 2021

Facial Input Decompositions for Robust Peak and Reachable Set Estimation under Polyhedral Uncertainty.
CoRR, 2021

Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective.
CoRR, 2021

A Convex Optimization Approach to Learning Koopman Operators.
CoRR, 2021

A Data Driven, Convex Optimization Approach to Learning Koopman Operators.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Globally Convergent Low Complexity Algorithms for Semidefinite Programming.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Peak Estimation for Uncertain and Switched Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Nonlinear Data-Driven Control via State-Dependent Representations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
A Hybrid Command Governor Scheme for Rotary Wings Unmanned Aerial Vehicles.
IEEE Trans. Control. Syst. Technol., 2020

Peak Estimation and Recovery with Occupation Measures.
CoRR, 2020

Dynamic Motion Representation for Human Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Key Frame Proposal Network for Efficient Pose Estimation in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

MIMO System Identification by Randomized Active-Set Methods.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Probabilistic Discrete Time Robust H2 Controller Design.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Loewner Matrix Based Convex Optimization Approach to Finding Low Rank Mixed Time/Frequency Domain Interpolants.
Proceedings of the 2020 American Control Conference, 2020

2019
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion.
CoRR, 2019

Solving Interpretable Kernel Dimension Reduction.
CoRR, 2019

Solving Interpretable Kernel Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Identification of Error-in-Variables Switched Systems via a Sum-of-Squares Polynomial Based Subspace Clustering Method.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Worst-Case Optimal Data-Driven Estimators for Switched Discrete-Time Linear Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Domain Adaptation Based Fault Detection in Label Imbalanced Cyberphysical Systems.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Signal Estimation and System Identification With Nonlinear Dynamic Sensors.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

2018
Hankel Matrix Rank as Indicator of Ghost in Bearing-Only Tracking.
IEEE Trans. Aerosp. Electron. Syst., 2018

A Randomized Algorithm for Parsimonious Model Identification.
IEEE Trans. Autom. Control., 2018

Convex Optimization Approaches to Information Structured Decentralized Control.
IEEE Trans. Autom. Control., 2018

DYAN: A Dynamical Atoms Network for Video Prediction.
CoRR, 2018

DYAN: A Dynamical Atoms-Based Network for Video Prediction.
Proceedings of the Computer Vision - ECCV 2018, 2018

SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MoNet: Moments Embedding Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Efficient Identification of Error-in Variables Switched Systems Based on Riemannian Distance-Like Functions.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Moments Based Approach to Designing MIMO Data Driven Controllers for Switched Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Unsupervised Fault Detection of Reefer Containers: A Moments-Based SDP Approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

Iterative Spectral Method for Alternative Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
The Interplay Between Big Data and Sparsity in Systems Identification.
Proceedings of the Geometric and Numerical Foundations of Movements, 2017

Multi-camera Multi-Object Tracking.
CoRR, 2017

moM: Mean of Moments Feature for Person Re-identification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Dynamics Enhanced Multi-camera Motion Segmentation from Unsynchronized Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Symmetric positive stabilization of linear time-invariant systems.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Jensen Bregman LogDet Divergence Optimal Filtering in the Manifold of Positive Definite Matrices.
Proceedings of the Computer Vision - ECCV 2016, 2016

Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Solving Temporal Puzzles.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Identification of switched wiener systems based on local embedding.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A convex optimization approach to design of information structured linear constrained controllers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Person Re-identification in Appearance Impaired Scenarios.
Proceedings of the British Machine Vision Conference 2016, 2016

A super-atomic norm minimization approach to identifying sparse dynamical graphical models.
Proceedings of the 2016 American Control Conference, 2016

Convex behavioral model (in)validation via Jensen-Bregman divergence minimization.
Proceedings of the 2016 American Control Conference, 2016

An efficient approach to the radar ghost elimination problem.
Proceedings of the 2016 American Control Conference, 2016

The role of sparsity and dynamics in extracting information sparsely encoded in very large data sets.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Uncertainty and Robustness in Dynamic Vision.
Proceedings of the Encyclopedia of Systems and Control, 2015

Robust Anomaly Detection Using Semidefinite Programming.
CoRR, 2015

Set membership identification of switched linear systems with known number of subsystems.
Autom., 2015

Self Scaled Regularized Robust Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A convex optimization approach to robust fundamental matrix estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient identification of Wiener systems using a combination of atomic norm minimization and interval matrix properties.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identification of a class of generalized autoregressive conditional heteroskedasticity (GARCH) models with applications to covariance propagation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Unsupervised fault detection using semidefinite programming.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Identification of LPV systems with LFT parametric dependence via convex optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Low-order model identification of MIMO systems from noisy and incomplete data.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Fast Structured Nuclear Norm Minimization With Applications to Set Membership Systems Identification.
IEEE Trans. Autom. Control., 2014

Convex Certificates for Model (In)validation of Switched Affine Systems With Unknown Switches.
IEEE Trans. Autom. Control., 2014

Probabilistic Optimal Estimation With Uniformly Distributed Noise.
IEEE Trans. Autom. Control., 2014

Randomized Algorithms for Analysis and Control of Uncertain Systems with Applications, Second Edition, Roberto Tempo, Giuseppe Calafiore, Fabrizio Dabbene (Eds.). Springer-Verlag, London (2013), 357, ISBN: 978-1-4471-4609-4.
Autom., 2014

Parsimonious model identification via atomic norm minimization.
Proceedings of the 13th European Control Conference, 2014

Person Re-Identification Using Kernel-Based Metric Learning Methods.
Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse static output feedback controller design via convex optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Surviving the upcoming data deluge: A systems and control perspective.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

An obstacle avoidance and motion planning Command Governor based scheme: The Qball-X4 quadrotor case of study.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A convex optimization approach to semi-supervised identification of switched ARX systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Sparse H2 optimal filter design via convex optimization.
Proceedings of the American Control Conference, 2014

2013
The Way They Move: Tracking Multiple Targets with Similar Appearance.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Finding Causal Interactions in Video Sequences.
Proceedings of the IEEE International Conference on Computer Vision, 2013

An efficient atomic norm minimization approach to identification of low order models.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Hankel based maximum margin classifiers: A connection between machine learning and Wiener systems identification.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A convex optimization approach to worst-case optimal sensor selection.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

ℓ∞ worst-case optimal estimators for switched ARX systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Vision based control of an autonomous blimp with actuator saturation using pulse-width modulation.
Proceedings of the IEEE International Conference on Control Applications, 2013

2012
A Sparsification Approach to Set Membership Identification of Switched Affine Systems.
IEEE Trans. Autom. Control., 2012

A Convex Optimization Approach to Synthesizing Bounded Complexity l<sup>∞</sup> Filters.
IEEE Trans. Autom. Control., 2012

Probabilistic Optimal Estimation and Filtering under Uncertainty
CoRR, 2012

Dynamic Context for Tracking behind Occlusions.
Proceedings of the Computer Vision - ECCV 2012, 2012

Cross-view activity recognition using Hankelets.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fast algorithms for structured robust principal component analysis.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A probabilistic approach to optimal estimation - Part II: algorithms and applications.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A probabilistic approach to optimal estimation part I: Problem formulation and methodology.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A convex optimization approach to model (in)validation of switched ARX systems with unknown switches.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

An algorithm for fast constrained nuclear norm minimization and applications to systems identification.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A convex approach to generalized fixed order interpolation.
Proceedings of the American Control Conference, 2012

2011
Low order dynamics embedding for high dimensional time series.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Dynamic subspace-based coordinated multicamera tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Activity recognition using dynamic subspace angles.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Convex relaxations for robust identification of Wiener systems and applications.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Hybrid system identification with faulty measurements and its application to activity analysis.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Blind identification of sparse dynamic networks and applications.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Bounded complexity ℓ<sup>℞</sup> filters for switched systems.
Proceedings of the American Control Conference, 2011

A rank minimization approach to trajectory (in)validation.
Proceedings of the American Control Conference, 2011

Identifying stable fixed order systems from time and frequency response data.
Proceedings of the American Control Conference, 2011

2010
Euclidean Structure Recovery from Motion in Perspective Image Sequences via Hankel Rank Minimization.
Proceedings of the Computer Vision, 2010

GPCA with denoising: A moments-based convex approach.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Model (in) validation of switched ARX systems with unknown switches and its application to activity monitoring.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Hybrid system identification: An SDP approach.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A moments-based approach to estimation and data interpolation for a class of Wiener systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Dynamics-based extraction of information sparsely encoded in high dimensional data streams.
Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, 2010

Hybrid system identification via sparse polynomial optimization.
Proceedings of the American Control Conference, 2010

2009
Motion Prediction for Continued Autonomy.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Risk Adjusted Set Membership Identification of Wiener Systems.
IEEE Trans. Autom. Control., 2009

Computational complexity analysis of set membership identification of Hammerstein and Wiener systems.
Autom., 2009

Using dynamics to recover Euclidian 3-dimensional structure from 2-dimensional perspective projections.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robust identification of switched affine systems via moments-based convex optimization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A convex optimization approach to synthesizing bounded complexity l<sup>infinity</sup> filters.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Sequential sparsification for change detection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Fast track matching and event detection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

The role of dynamics in computer vision and image processing.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Computational complexity analysis of set membership identification of a class of nonlinear systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

A sparsification approach to set membership identification of a class of affine hybrid systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Receding horizon rank minimization based estimation with applications to visual tracking.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A risk adjusted approach to robust simultaneous fault detection and isolation.
Autom., 2007

A Rank Minimization Approach to Video Inpainting.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Risk adjusted identification of a class of nonlinear systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A pessimistic approach to frequency domain model (in)validation.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A rank minimization approach to fast dynamic event detection and track matching in video sequences.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Dynamics Based Robust Motion Segmentation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Dynamic Appearance Modeling for Human Tracking.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Set-Membership Identification of Parametric Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Risk Adjusted Identification of Wiener Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A Frequency Domain Robust Model Validation Approach to Fault Detection and Isolation with Applications to Identification of Contaminants in Lubrication and Transformer oils.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Robust Identification of 2-D Periodic Systems with Applications to Texture Synthesis and Classification.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A bottom-up approach to verification of hybrid model-based hierarchical controllers with application to underwater vehicles.
Proceedings of the American Control Conference, 2006

2005
An algorithm for sampling subsets of H<sub>∞</sub> with applications to risk-adjusted performance analysis and model (in)validation.
IEEE Trans. Autom. Control., 2005

Probabilistically Constrained Linear Programs and Risk-Adjusted Controller Design.
SIAM J. Optim., 2005

A Model (In)Validation Approach to Gait Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Robust Structure from Motion and Identified Dynamics.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Caratheodory-Fejer Approach to Dynamic Appearance Modeling.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Semi -Blind Model (In) Validation with Applications to Texture Classification.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Robust Identification of Periodic Systems with Applications to Texture Inpainting.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Robust Interpolation using Interval Structures.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Segmentation for robust tracking in the presence of severe occlusion.
IEEE Trans. Image Process., 2004

Convex necessary and sufficient conditions for frequency domain model (in)validation under SLTV structured uncertainty.
IEEE Trans. Autom. Control., 2004

Finite horizon model reduction of a class of neutrally stable systems with applications to texture synthesis and recognition.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

A set-membership approach to blind identification.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Nonlinear compensator synthesis via linear parameter-varying control.
Proceedings of the 2004 American Control Conference, 2004

2003
An LMI approach to control-oriented identification and model (In) validation of LPV systems.
IEEE Trans. Autom. Control., 2003

H<sub>2</sub> control with time-domain constraints: theory and an application.
IEEE Trans. Autom. Control., 2003

On the design of robust controllers for arbitrary uncertainty structures.
IEEE Trans. Autom. Control., 2003

Open-loop worst-case identification of nonSchur plants.
Autom., 2003

A Caratheodory-Fejer Approach to Robust Multiframe Tracking.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Convex necessary and sufficient conditions for model (in)validation under SLTV structured uncertainty.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Sampling random transfer functions.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Operator theoretic methods for robust active vision problems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

A Caratheodory-Fejer approach to simultaneous fault detection and isolation.
Proceedings of the American Control Conference, 2003

A risk-adjusted approach to model (in)validation.
Proceedings of the American Control Conference, 2003

2002
A convex approach to robust H<sub>2</sub> performance analysis.
Autom., 2002

A superstability approach to synthesizing low order suboptimal L<sub>∞</sub>-induced controllers for LPV systems.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Finite horizon model reduction and the appearance of dissipation in Hamiltonian systems.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

A new bound of the 𝓛<sub>2</sub>[0, T]-induced norm and applications to model reduction.
Proceedings of the American Control Conference, 2002

<i>H</i><sub>2</sub> control with time domain constraints: theory and an application.
Proceedings of the American Control Conference, 2002

A Model (In)Validation Approach to Gait Recognition.
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002

2001
An improved Voronoi-diagram-based neural net for pattern classification.
IEEE Trans. Neural Networks, 2001

Robust identification with mixed parametric/nonparametric models and time/frequency-domain experiments: theory and an application.
IEEE Trans. Control. Syst. Technol., 2001

Suboptimal control of constrained nonlinear systems via receding horizon state dependent Riccati equations.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

An algorithm for generating transfer functions uniformly distributed over H<sub>∞</sub> balls.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

An LMI approach to model (in) validation of LPV systems.
Proceedings of the American Control Conference, 2001

Application of probabilistically constrained linear programs to risk-adjusted controller design.
Proceedings of the American Control Conference, 2001

2000
An exact solution to continuous-time mixed H<sub>2</sub>/H<sub>∞</sub> control problems.
IEEE Trans. Autom. Control., 2000

A convex optimization approach to fixed-order controller design for disturbance rejection in SISO systems.
IEEE Trans. Autom. Control., 2000

Author's reply: "A comment on L<sub>infinity</sub> optimal control of SISO continuous-time systems".
Autom., 2000

Is set modeling of white noise a good tool for robust H analysis?
Autom., 2000

A linear matrix inequality approach to synthesizing low-order suboptimal mixed L<sub>1</sub>/H controllers.
Autom., 2000

An LPV approach to synthesizing robust active vision systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

An LMI approach to control oriented identification of LPV systems.
Proceedings of the American Control Conference, 2000

Robust controller design for active vision systems.
Proceedings of the American Control Conference, 2000

1999
A parametric extension of mixed time/frequency robust identification.
IEEE Trans. Autom. Control., 1999

1998
Mixed l<sub>1</sub>/H<sub>∞</sub> control of MIMO systems via convex optimization.
IEEE Trans. Autom. Control., 1998

An exact solution to general four-block discrete-time mixed H<sub>2</sub>/H<sub>∞</sub> problems via convex optimization.
IEEE Trans. Autom. Control., 1998

Mixed Time/Frequency-Domain Based Robust Identification.
Autom., 1998

1997
L<sub>∞</sub> Optimal control of SISO continuous-time systems.
Autom., 1997

Robust performance with fixed and worst-case signals for uncertain time-varying systems.
Autom., 1997

1996
Rational L<sub>∞</sub>-suboptimal controllers for SISO continuous-time systems.
IEEE Trans. Autom. Control., 1996

1995
Further results on rational approximations of 𝓛<sup>1</sup> optimal controllers.
IEEE Trans. Autom. Control., 1995

Persistent disturbance rejection via static-state feedback.
IEEE Trans. Autom. Control., 1995

1994
Feedback control of quantized constrained systems with applications to neuromorphic controllers design.
IEEE Trans. Autom. Control., 1994

An exact solution to general SISO mixed <i>H</i><sub>2</sub>/<i>H</i><sub>∞</sub> problems via convex optimization.
IEEE Trans. Autom. Control., 1994

Rational 𝓛<sup>1</sup> suboptimal compensators for continuous-time systems.
IEEE Trans. Autom. Control., 1994

Constrained controllability of linear impulse differential systems.
IEEE Trans. Autom. Control., 1994

1993
Heuristically enhanced feedback control of constrained systems: The minimum time case.
Autom., 1993

1992
An analog "neural net" based suboptimal controller for constrained discrete-time linear systems.
Autom., 1992

1990
Heuristically enhanced feedback control of constrained discrete-time linear systems.
Autom., 1990

1989
An adaptive controller for a one-legged mobile robot.
IEEE Trans. Robotics Autom., 1989

Control of constrained discrete time linear systems using quantized controls.
Autom., 1989


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