Bo Shen
Orcid: 0000-0003-3482-5783Affiliations:
- Donghua University,College of Information Science and Technology, Shanghai,China
- University of Duisburg-Essen, Institute for Automatic Control and Complex Systems, Duisburg, Germany (2011 - 2013)
According to our database1,
Bo Shen
authored at least 128 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Recursive Filtering for Stochastic Systems with Filter-and-Forward Successive Relays.
IEEE CAA J. Autom. Sinica, May, 2024
Int. J. Syst. Sci., March, 2024
Dynamic Event-Triggered Scaled Consensus of Multi-Agent Systems in Reliable and Unreliable Networks.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Distributed Secondary Frequency Control for AC Microgrids Using Load Power Forecasting Based on Artificial Neural Network.
IEEE Trans. Ind. Informatics, February, 2024
Secure Particle Filtering With Paillier Encryption-Decryption Scheme: Application to Multi-Machine Power Grids.
IEEE Trans. Smart Grid, January, 2024
IEEE Trans. Intell. Veh., January, 2024
Zonotopic set-membership estimation for time-varying systems subject to dynamical biases and quantization effects.
Inf. Sci., January, 2024
Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems.
IEEE CAA J. Autom. Sinica, January, 2024
Ultimately Bounded State Estimation for Nonlinear Networked Systems With Constrained Average Bit Rate: A Buffer-Aided Strategy.
IEEE Trans. Signal Process., 2024
2023
Encryption-Decryption-Based State Estimation With Multirate Measurements Against Eavesdroppers: A Recursive Minimum-Variance Approach.
IEEE Trans. Autom. Control., December, 2023
Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes.
Autom., December, 2023
Jointly Distributed Filtering Based on Generalized Maximum Correntropy Criterion: Memory-Based Event-Triggered Cases.
IEEE Trans. Ind. Informatics, October, 2023
Quadratic filtering for non-Gaussian stochastic parameter systems with buffer-aided strategy.
Inf. Sci., October, 2023
A hierarchical sparrow search algorithm to solve numerical optimization and estimate parameters of carbon fiber drawing process.
Artif. Intell. Rev., October, 2023
Autom., September, 2023
J. Ambient Intell. Humaniz. Comput., July, 2023
Distributed fusion filtering for multi-sensor systems under time-correlated fading channels and energy harvesters.
J. Frankl. Inst., June, 2023
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis.
IEEE CAA J. Autom. Sinica, June, 2023
J. Supercomput., May, 2023
Outlier-Resistant Recursive State Estimation for Renewable-Electricity-Generation-Based Microgrids.
IEEE Trans. Ind. Informatics, May, 2023
Maximum Correntropy Kalman Filtering for Non-Gaussian Systems With State Saturations and Stochastic Nonlinearities.
IEEE CAA J. Autom. Sinica, May, 2023
Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity.
IEEE CAA J. Autom. Sinica, April, 2023
Event-Based Joint State and Unknown Input Estimation for Energy Networks: Handling Multi-Machine Power Grids.
IEEE Trans. Netw. Sci. Eng., 2023
A new elite opposite sparrow search algorithm-based optimized LightGBM approach for fault diagnosis.
J. Ambient Intell. Humaniz. Comput., 2023
Decentralized dynamic state estimation for multi-machine power systems with non-Gaussian noises: Outlier detection and localization.
Autom., 2023
Historical Location Information Based Improved Sparrow Search Algorithm for Microgrid Optimal Dispatching.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023
2022
Robust Recursive Filtering for Stochastic Systems With Time-Correlated Fading Channels.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Recursive State Estimation for Networked Multirate Multisensor Systems With Distributed Time-Delays Under Round-Robin Protocol.
IEEE Trans. Cybern., 2022
Distributed Recursive Filtering Over Sensor Networks With Nonlogarithmic Sensor Resolution.
IEEE Trans. Autom. Control., 2022
IEEE Trans. Autom. Control., 2022
Local Stabilization for Multiple Input-Delay Systems Subject to Saturating Actuators: The Continuous-Time Case.
IEEE Trans. Autom. Control., 2022
Synchronization and state estimation for discrete-time coupled delayed complex-valued neural networks with random system parameters.
Neural Networks, 2022
Stubborn state estimation for complex-valued neural networks with mixed time delays: the discrete time case.
Neural Comput. Appl., 2022
Fusion estimation for stochastic uncertain systems with time-correlated rician fading channels.
J. Frankl. Inst., 2022
Ensemble of resource allocation strategies in decision and objective spaces for multiobjective optimization.
Inf. Sci., 2022
Special issue on performance analysis and synthesis of networked systems under coding-decoding communication mechanisms.
Int. J. Syst. Sci., 2022
Dynamic event-triggered state estimation for time-delayed spatial-temporal networks under encoding-decoding scheme.
Neurocomputing, 2022
Recursive Fault Estimation With Energy Harvesting Sensors and Uniform Quantization Effects.
IEEE CAA J. Autom. Sinica, 2022
Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks.
IEEE CAA J. Autom. Sinica, 2022
Eur. J. Control, 2022
A vector-encirclement-model-based sparrow search algorithm for engineering optimization and numerical optimization problems.
Appl. Soft Comput., 2022
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Outlier-Resistant Recursive Filtering for Multisensor Multirate Networked Systems Under Weighted Try-Once-Discard Protocol.
IEEE Trans. Cybern., 2021
IEEE Trans. Autom. Control., 2021
Event-Triggering State and Fault Estimation for a Class of Nonlinear Systems Subject to Sensor Saturations.
Sensors, 2021
J. Frankl. Inst., 2021
Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels.
Inf. Sci., 2021
State-of-charge estimation for Li-ion batteries with uncertain parameters and uncorrelated/correlated noises: a recursive approach.
Int. J. Syst. Sci., 2021
Autom., 2021
Distributed state estimation for renewable energy microgrids with sensor saturations.
Autom., 2021
Fusion estimation for a class of multi-rate power systems with randomly occurring SCADA measurement delays.
Autom., 2021
2020
State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks.
IEEE Trans. Neural Networks Learn. Syst., 2020
Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol.
IEEE Trans. Cybern., 2020
Delay-Distribution-Dependent H<sub>∞</sub> State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements.
IEEE Trans. Cybern., 2020
l2-l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol.
Neural Networks, 2020
Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism.
Neural Networks, 2020
Non-fragile <i>H</i><sub>∞</sub> control for body slip angle of electric vehicles with onboard vision systems: The dynamic event-triggering approach.
J. Frankl. Inst., 2020
H∞ state estimation for multi-rate artificial neural networks with integral measurements: A switched system approach.
Inf. Sci., 2020
Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol.
Inf. Fusion, 2020
Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays.
Int. J. Syst. Sci., 2020
Neurocomputing, 2020
Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: A dynamic event-triggered approach.
Autom., 2020
2019
Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations.
IEEE Trans. Neural Networks Learn. Syst., 2019
Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach.
IEEE Trans. Cybern., 2019
\(H_{\infty }\) state estimation for discrete-time stochastic memristive BAM neural networks with mixed time-delays.
Int. J. Mach. Learn. Cybern., 2019
A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties.
J. Frankl. Inst., 2019
State estimation for neural networks with Markov-based nonuniform sampling: The partly unknown transition probability case.
Neurocomputing, 2019
Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor.
Autom., 2019
Resilient Recursive State Estimation for Discrete Time-Varying Systems with Deception Attacks<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019
Synchronization of Interconnected Boolean Networks With Stochastic Function Perturbations<sup>*</sup>.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
2018
Event-Triggered H<sub>∞</sub> State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case.
IEEE Trans. Neural Networks Learn. Syst., 2018
An event-triggered approach to robust recursive filtering for stochastic discrete time-varying spatial-temporal systems.
Signal Process., 2018
Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays.
Neural Networks, 2018
Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks.
J. Frankl. Inst., 2018
An event-triggered approach to distributed <i>H</i><sub>∞</sub> state estimation for state-saturated systems with randomly occurring mixed delays.
J. Frankl. Inst., 2018
Event-triggered <i>H</i><sub>∞</sub> state estimation for state-saturated complex networks subject to quantization effects and distributed delays.
J. Frankl. Inst., 2018
Event-based recursive filtering for a class of nonlinear stochastic parameter systems over fading channels.
Int. J. Gen. Syst., 2018
Guaranteed cost control for uncertain nonlinear systems with mixed time-delays: The discrete-time case.
Eur. J. Control, 2018
2017
Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2017
Quantized/Saturated Control for Sampled-Data Systems Under Noisy Sampling Intervals: A Confluent Vandermonde Matrix Approach.
IEEE Trans. Autom. Control., 2017
Event-triggered H ∞ state estimation for discrete-time neural networks with mixed time delays and sensor saturations.
Neural Comput. Appl., 2017
A sampled-data approach to distributed <i>H</i><sub>∞</sub> resilient state estimation for a class of nonlinear time-delay systems over sensor networks.
J. Frankl. Inst., 2017
Event-triggered multi-rate fusion estimation for uncertain system with stochastic nonlinearities and colored measurement noises.
Inf. Fusion, 2017
Distributed sampled-data state estimation for sensor networks with nonuniform samplings.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
2016
Recent advances on filtering and control for cyber-physical systems under security and resource constraints.
J. Frankl. Inst., 2016
Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays.
Neurocomputing, 2016
Unknown input and state estimation for linear discrete-time systems with missing measurements and correlated noises.
Int. J. Gen. Syst., 2016
H<sub>∞</sub> state estimation for discrete-time memristive recurrent neural networks with stochastic time-delays.
Int. J. Gen. Syst., 2016
Variance-constrained H<sub>∞</sub> control for a class of nonlinear stochastic discrete time-varying systems: The event-triggered design.
Autom., 2016
2015
Finite-Horizon H<sub>∞</sub> Control for Discrete Time-Varying Systems With Randomly Occurring Nonlinearities and Fading Measurements.
IEEE Trans. Autom. Control., 2015
Robust reliable H∞ control for uncertain stochastic spatial-temporal systems: The output feedback case.
J. Frankl. Inst., 2015
Event-triggered synchronization control for complex networks with uncertain inner coupling.
Int. J. Gen. Syst., 2015
Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements.
Int. J. Gen. Syst., 2015
Event-triggered consensus control for discrete-time stochastic multi-agent systems: The input-to-state stability in probability.
Autom., 2015
Envelope-constrained <sub>H</sub><sub>∞</sub> filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case.
Autom., 2015
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
2014
An H<sub>∞</sub> Fault Estimation Scheme of Wireless Networked Control Systems for Industrial Real-Time Applications.
IEEE Trans. Control. Syst. Technol., 2014
Int. J. Syst. Sci., 2014
Recent advances on distributed filtering for stochastic systems over sensor networks.
Int. J. Gen. Syst., 2014
A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation.
Int. J. Control, 2014
2013
Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays.
IEEE Trans. Signal Process., 2013
H<sub>∞</sub> State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2013
A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill.
IEEE Trans. Ind. Informatics, 2013
Finite-Horizon H<sub>∞</sub> Fault Estimation for Uncertain Linear Discrete Time-Varying Systems With Known Inputs.
IEEE Trans. Circuits Syst. II Express Briefs, 2013
Finite-Horizon H<sub>∞</sub> Filtering With Missing Measurements and Quantization Effects.
IEEE Trans. Autom. Control., 2013
Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements.
Int. J. Control, 2013
Finite-horizon H<sub>∞</sub> fault estimation for linear discrete time-varying systems with delayed measurements.
Autom., 2013
Finite-horizon estimation of randomly occurring faults for discrete time-varying systems.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013
H∞ state estimation for discrete-time systems with fading measurements and randomly varying nonlinearities.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
2012
Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays.
ACM Trans. Sens. Networks, 2012
H<sub>∞</sub> State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays.
IEEE Trans. Neural Networks Learn. Syst., 2012
Quantized H<sub>∞</sub> Control for Nonlinear Stochastic Time-Delay Systems With Missing Measurements.
IEEE Trans. Autom. Control., 2012
IEEE Trans. Autom. Control., 2012
H<sub>∞</sub> filtering with randomly occurring sensor saturations and missing measurements.
Autom., 2012
2011
Bounded H<sub>infty</sub> Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon.
IEEE Trans. Neural Networks, 2011
Distributed H<sub>∞</sub> Filtering for Polynomial Nonlinear Stochastic Systems in Sensor Networks.
IEEE Trans. Ind. Electron., 2011
Probability-Dependent Gain-Scheduled Filtering for Stochastic Systems With Missing Measurements.
IEEE Trans. Circuits Syst. II Express Briefs, 2011
A Stochastic Sampled-Data Approach to Distributed H<sub>infty </sub> Filtering in Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011
Robust distributed state estimation for sensor networks with multiple stochastic communication delays.
Int. J. Syst. Sci., 2011
2010
Error-Constrained Filtering for a Class of Nonlinear Time-Varying Delay Systems With Non-Gaussian Noises.
IEEE Trans. Autom. Control., 2010
Robust H<sub>infinity</sub> finite-horizon filtering with randomly occurred nonlinearities and quantization effects.
Autom., 2010
Distributed H<sub>∞</sub>-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case.
Autom., 2010
2009
H<sub>∞</sub> filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays.
Autom., 2009
2008
On Nonlinear H<sub>∞</sub> Filtering for Discrete-Time Stochastic Systems With Missing Measurements.
IEEE Trans. Autom. Control., 2008