Bo Shen

Orcid: 0000-0003-3482-5783

Affiliations:
  • 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 135 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Novel Adaptive Memory Event-Triggered-Based Fuzzy Robust Control for Nonlinear Networked Systems via the Differential Evolution Algorithm.
IEEE CAA J. Autom. Sinica, August, 2024

A multi-strategy-guided sparrow search algorithm to solve numerical optimization and predict the remaining useful life of li-ion batteries.
J. Supercomput., July, 2024

Learning-Based Platooning Control of Automated Vehicles via Multiple Description Encoding Mechanisms.
IEEE Trans. Veh. Technol., June, 2024

Recursive Filtering for Stochastic Systems with Filter-and-Forward Successive Relays.
IEEE CAA J. Autom. Sinica, May, 2024

A survey on sparrow search algorithms and their applications.
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

Learning-Based Platooning Control of Automated Vehicles Under Constrained Bit Rate.
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

Constraint landscape knowledge assisted constrained multiobjective optimization.
Swarm Evol. Comput., 2024

Constrained evolutionary optimization based on dynamic knowledge transfer.
Expert Syst. Appl., 2024

A reinforcement learning-based neighborhood search operator for multi-modal optimization and its applications.
Expert Syst. Appl., 2024

Neural Operator for Accelerating Coronal Magnetic Field Model.
CoRR, 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

Moving horizon estimation over relay channels: Dealing with packet losses.
Autom., September, 2023

An intensified sparrow search algorithm for solving optimization problems.
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

Dung beetle optimizer: a new meta-heuristic algorithm for global optimization.
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

Model Evaluation of the Stochastic Boolean Control Networks.
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

Output regulation for a first-order hyperbolic PIDE with state and sensor delays.
Eur. J. Control, 2022

A vector-encirclement-model-based sparrow search algorithm for engineering optimization and numerical optimization problems.
Appl. Soft Comput., 2022

A resilient filtering approach to multi-sensor systems with energy harvesters.
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

Recursive Filtering With Measurement Fading: A Multiple Description Coding Scheme.
IEEE Trans. Autom. Control., 2021

Event-Triggering State and Fault Estimation for a Class of Nonlinear Systems Subject to Sensor Saturations.
Sensors, 2021

Event-based fusion estimation for multi-rate systems subject to sensor degradations.
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

Robust fusion filtering over multisensor systems with energy harvesting constraints.
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

Dynamic state estimation for islanded microgrids with multiple fading measurements.
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

Stabilization for sampled-data systems under noisy sampling interval.
Autom., 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

Reviews on third-party website and e-Commerce overseas expansion strategy.
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

Analysis and control with randomly occurring incomplete information.
Int. J. Syst. Sci., 2014

Distributed estimation and control for general systems.
Int. J. Gen. Syst., 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

Quadratic optimal fault tolerant control on wireless networked control system.
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

Sampled-Data Synchronization Control of Dynamical Networks With Stochastic Sampling.
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


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