Jun Hu

Orcid: 0000-0002-7852-5064

Affiliations:
  • Harbin University of Science and Technology, Department of Mathematics, China
  • Harbin University of Science and Technology, School of Automation, China
  • Harbin Institute of Technology, Department of Applied Mathematics, China (former)
  • Harbin Institute of Technology, Institute of Intelligent Control and Systems, China (PhD 2013)


According to our database1, Jun Hu authored at least 113 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Kernel Adaptive Filtering Over Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Noise-to-state and delay-dependent stability of highly nonlinear hybrid stochastic differential equation with multiple delays.
Int. J. Control, March, 2024

Event-triggered nonfragile predictive control for networked control system with redundant channels.
Trans. Inst. Meas. Control, January, 2024

Fusion filtering for rectangular descriptor systems with stochastic bias and random observation delays under weighted try-once-discard protocol.
Commun. Nonlinear Sci. Numer. Simul., January, 2024

Outlier-resistant distributed fusion filtering for nonlinear discrete-time singular systems under a dynamic event-triggered scheme.
Frontiers Inf. Technol. Electron. Eng., 2024

Stabilization of discrete delayed system with Markovian packet dropouts under stochastic communication protocol via sliding mode approach.
J. Frankl. Inst., 2024

2023
Distributed Recursive Filtering Over Sensor Networks Under Random Access Protocol: When State Saturation Meets Censored Measurement.
IEEE Trans. Cybern., December, 2023

Partial-Neurons-Based H<sub>∞ </sub> State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint.
Neural Process. Lett., December, 2023

A Variance-Constrained Method to Protocol-Based H<sub>∞ </sub> State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity.
Neural Process. Lett., December, 2023

A resilient method to nonlinear distributed filtering for multi-rate systems with integral measurements under memory-event-triggered mechanism.
Commun. Nonlinear Sci. Numer. Simul., December, 2023

Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Security-Guaranteed Fuzzy Networked State Estimation for 2-D Systems With Multiple Sensor Arrays Subject to Deception Attacks.
IEEE Trans. Fuzzy Syst., October, 2023

Differentially Private Average Consensus With Logarithmic Dynamic Encoding-Decoding Scheme.
IEEE Trans. Cybern., October, 2023

Distributed Resilient Fusion Filtering for Nonlinear Systems with Random Sensor Delays: Optimized Algorithm Design and Boundedness Analysis.
J. Syst. Sci. Complex., August, 2023

Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism.
Inf. Sci., August, 2023

Variance-Constrained Filter Design With Sensor Resolution Under Round-Robin Communication Protocol: An Outlier-Resistant Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Outlier-resistant variance-constrained $\mathit{H}_{\infty }$ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks.
Neural Comput. Appl., June, 2023

Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay.
Inf. Sci., June, 2023

A brief survey on nonlinear control using adaptive dynamic programming under engineering-oriented complexities.
Int. J. Syst. Sci., June, 2023

Outlier-resistant sequential filtering fusion for cyber-physical systems with quantized measurements under denial-of-service attacks.
Inf. Sci., May, 2023

Event-triggered finite-time fault detection for delayed networked systems with conic-type nonlinearity and deception attacks.
J. Frankl. Inst., February, 2023

Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Distributed Resilient State Estimation for Cyber-Physical Systems Against Bit Errors: A Zonotopic Set-Membership Approach.
IEEE Trans. Netw. Sci. Eng., 2023

Finite-Time Observer-Based Sliding-Mode Control for Markovian Jump Systems With Switching Chain: Average Dwell-Time Method.
IEEE Trans. Cybern., 2023

Variance-Constrained Resilient H<sub>∞ </sub> State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability.
Neural Process. Lett., 2023

2022
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Distributed Filtering for Complex Networks Under Multiple Event-Triggered Transmissions Within Node-Wise Communications.
IEEE Trans. Netw. Sci. Eng., 2022

Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2022

Consensus-Based Distributed State Estimation Over Sensor Networks With Encoding-Decoding Scheme: Accommodating Bandwidth Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms.
IEEE Trans. Neural Networks Learn. Syst., 2022

Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias.
IEEE Trans. Cybern., 2022

Encoding-Decoding-Based Distributed Filtering for Time-Varying Saturated Systems With Constrained Bit Rate.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers.
IEEE Trans. Autom. Control., 2022

Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses.
Sensors, 2022

Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol.
J. Frankl. Inst., 2022

Event-triggered secure control of discrete systems under cyber-attacks using an observer-based sliding mode strategy.
Inf. Sci., 2022

Resilient energy-to-peak filtering for linear parameter-varying systems under random access protocol.
Int. J. Syst. Sci., 2022

Distributed resilient fusion filtering for nonlinear systems with random sensor delay under round-robin protocol.
Int. J. Syst. Sci., 2022

Distributed multi-step subgradient projection algorithm with adaptive event-triggering protocols: a framework of multiagent systems.
Int. J. Syst. Sci., 2022

Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements.
Neurocomputing, 2022

Communication-protocol-based distributed filtering for general systems over sensor networks: developments and challenges.
Int. J. Gen. Syst., 2022

Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints.
IEEE CAA J. Autom. Sinica, 2022

Finite-Time Stabilization of Multi-rate Networked Control System Based on Predictive Control.
Circuits Syst. Signal Process., 2022

Annulus-Event-Based Finite-Time Fault Detection for Discrete-Time Nonlinear Systems with Probabilistic Interval Delay and Randomly Occurring Faults.
Circuits Syst. Signal Process., 2022

Partial-Nodes-Based State Estimation for Stochastic Coupled Complex Networks with Random Sensor Delay: An Event-Triggered Communication Method.
Circuits Syst. Signal Process., 2022

Nonlinear distributed filtering subject to censoring measurements under dynamic event-triggered communication mechanism: The state-saturated case.
Commun. Nonlinear Sci. Numer. Simul., 2022

Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case.
Appl. Math. Comput., 2022

Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: The uncertain probabilities case.
Appl. Math. Comput., 2022

Design of Event-Based Resilient Distributed Filtering Algorithm for Time-Varying Stochastic Systems with Correlated Noises over Sensor Networks.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic Systems with Multiple Sensors.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Design of Variance-Constrained H∞ State Estimation Algorithm for Delayed Memristive Neural Networks with Attacks: An Adaptive Event-Triggered Approach.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Design of Sliding-Mode-Based Control for Nonlinear Systems With Mixed-Delays and Packet Losses Under Uncertain Missing Probability.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Prediction-Based Approach to Distributed Filtering With Missing Measurements and Communication Delays Through Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Synchronization Control for Discrete-Time-Delayed Dynamical Networks With Switching Topology Under Actuator Saturations.
IEEE Trans. Neural Networks Learn. Syst., 2021

Probability-Guaranteed Envelope-Constrained Filtering for Nonlinear Systems Subject to Measurement Outliers.
IEEE Trans. Autom. Control., 2021

Annulus-event-based fault detection for state-saturated nonlinear systems with time-varying delays.
J. Frankl. Inst., 2021

Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges.
Int. J. Syst. Sci., 2021

On ℓ2-ℓ∞ output-feedback control scheduled by stochastic communication protocol for two-dimensional switched systems.
Int. J. Syst. Sci., 2021

A survey on sliding mode control for networked control systems.
Int. J. Syst. Sci., 2021

A survey on state estimation of complex dynamical networks.
Int. J. Syst. Sci., 2021

Observer-based H∞ sliding mode control for networked systems subject to communication channel fading and randomly varying nonlinearities.
Neurocomputing, 2021

Robust observer-based sliding mode H∞ control for stochastic Markovian jump systems subject to packet losses.
Autom., 2021

Distributed state and fault estimation over sensor networks with probabilistic quantizations: The dynamic event-triggered case.
Autom., 2021

2020
Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling.
IEEE Trans. Neural Networks Learn. Syst., 2020

Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects.
IEEE Trans. Autom. Control., 2020

Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism.
Kybernetika, 2020

Adaptive sliding-mode-based control for stochastic nonlinear systems subject to probabilistic interval delay: A delay-fractioning method.
J. Frankl. Inst., 2020

On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism.
Inf. Sci., 2020

Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges.
Inf. Fusion, 2020

Robust adaptive sliding mode control for discrete singular systems with randomly occurring mixed time-delays under uncertain occurrence probabilities.
Int. J. Syst. Sci., 2020

Finite-time memory fault detection filter design for nonlinear discrete systems with deception attacks.
Int. J. Syst. Sci., 2020

Finite-time sliding mode control for networked singular Markovian jump systems with packet losses: A delay-fractioning scheme.
Neurocomputing, 2020

An Event-Triggered Approach to Robust Fault Detection for Nonlinear Uncertain Markovian Jump Systems with Time-Varying Delays.
Circuits Syst. Signal Process., 2020

Robust Fault Detection for Nonlinear Discrete Systems with Data Drift and Randomly Occurring Faults Under Weighted Try-Once-Discard Protocol.
Circuits Syst. Signal Process., 2020

Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements.
Autom., 2020

2019
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode.
Neural Process. Lett., 2019

Variance-constrained filtering for discrete-time genetic regulatory networks with state delay and random measurement delay.
Int. J. Syst. Sci., 2019

Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol.
Neurocomputing, 2019

Sliding mode control for Markovian jump repeated scalar nonlinear systems with packet dropouts: The uncertain occurrence probabilities case.
Appl. Math. Comput., 2019

Adaptive Sliding Mode Fault-Tolerant Control for a Class of Uncertain Systems With Probabilistic Random Delays.
IEEE Access, 2019

Disturbance Attenuation and Rejection for Nonlinear Uncertain Switched Systems Subject to Input Saturation.
IEEE Access, 2019

2018
Event-based distributed information fusion over sensor networks.
Inf. Fusion, 2018

Sliding mode control for networked systems with randomly varying nonlinearities and stochastic communication delays under uncertain occurrence probabilities.
Neurocomputing, 2018

A resilience approach to state estimation for discrete neural networks subject to multiple missing measurements and mixed time-delays.
Neurocomputing, 2018

Event-based state estimation for time-varying stochastic coupling networks with missing measurements under uncertain occurrence probabilities.
Int. J. Gen. Syst., 2018

Event-triggered resilient filtering with stochastic uncertainties and successive packet dropouts via variance-constrained approach.
Int. J. Gen. Syst., 2018

Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations.
Autom., 2018

Protocol-Based Fault Detection for Discrete Delayed Systems With Missing Measurements: The Uncertain Missing Probability Case.
IEEE Access, 2018

2017
On ℋ<sub>∞</sub> Finite-Horizon Filtering Under Stochastic Protocol: Dealing With High-Rate Communication Networks.
IEEE Trans. Autom. Control., 2017

Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities.
Inf. Fusion, 2017

Dynamical behaviors of coupled neural networks with reaction-diffusion terms: analysis, control and applications.
Neurocomputing, 2017

2016
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects.
Inf. Fusion, 2016

Recursive approach to networked fault estimation with packet dropouts and randomly occurring uncertainties.
Neurocomputing, 2016

On general systems with randomly occurring incomplete information.
Int. J. Gen. Syst., 2016

On co-design of filter and fault estimator against randomly occurring nonlinearities and randomly occurring deception attacks.
Int. J. Gen. Syst., 2016

A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements.
Autom., 2016

2015
Event-triggered distributed state estimation with randomly occurring uncertainties and nonlinearities over sensor networks: A delay-fractioning approach.
J. Frankl. Inst., 2015

A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements.
J. Frankl. Inst., 2015

Reliable guaranteed-cost control for networked systems with randomly occurring actuator failures and fading performance output.
Int. J. Gen. Syst., 2015

2014
Sliding mode control for uncertain discrete-time systems with Markovian jumping parameters and mixed delays.
J. Frankl. Inst., 2014

State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays.
Int. J. Gen. Syst., 2014

2013
Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays.
IEEE Trans. Signal Process., 2013

Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements.
Int. J. Control, 2013

Dissipative control for state-saturated discrete time-varying systems with randomly occurring nonlinearities and missing measurements.
Int. J. Control, 2013

Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises.
Autom., 2013

2012
Robust Sliding Mode Control for Discrete Stochastic Systems With Mixed Time Delays, Randomly Occurring Uncertainties, and Randomly Occurring Nonlinearities.
IEEE Trans. Ind. Electron., 2012

Probability-guaranteed H<sub>∞</sub> finite-horizon filtering for a class of nonlinear time-varying systems with sensor saturations.
Syst. Control. Lett., 2012

Robust <i>H</i><sub>∞</sub> sliding mode control for discrete time-delay systems with stochastic nonlinearities.
J. Frankl. Inst., 2012

Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements.
Autom., 2012

2011
A delay fractioning approach to robust sliding mode control for discrete-time stochastic systems with randomly occurring non-linearities.
IMA J. Math. Control. Inf., 2011

2010
Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements.
Signal Process., 2010


  Loading...