Hongli Dong

According to our database1, Hongli Dong authored at least 72 papers between 2009 and 2021.

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

Timeline

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Bibliography

2021
Partial-Nodes-Based Scalable H<sub>∞</sub>-Consensus Filtering With Censored Measurements Over Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises.
IEEE Trans. Autom. Control., 2021

Event-based resilient filtering for stochastic nonlinear systems via innovation constraints.
Inf. Sci., 2021

Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol.
IEEE CAA J. Autom. Sinica, 2021

2020
Finite-Horizon Distributed State Estimation Under Randomly Switching Topologies and Redundant Channels.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Event-Triggering Approach to Recursive Filtering for Complex Networks With State Saturations and Random Coupling Strengths.
IEEE Trans. Neural Networks Learn. Syst., 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

Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks.
IEEE Trans. Cybern., 2020

Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.
Neural Networks, 2020

Fault estimation for time-varying systems with Round-Robin protocol.
Kybernetika, 2020

Recursive state estimation for linear systems with lossy measurements under time-correlated multiplicative noises.
J. Frankl. Inst., 2020

Recursive filtering for time-varying systems under duty cycle scheduling based on collaborative prediction.
J. Frankl. Inst., 2020

Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol.
Int. J. Syst. Sci., 2020

Outlier-resistant <i>H</i><sub>∞</sub> filtering for a class of networked systems under Round-Robin protocol.
Neurocomputing, 2020

Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings.
Autom., 2020

2019
Distributed Resilient Filtering for Power Systems Subject to Denial-of-Service Attacks.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Non-Fragile Distributed Fault Estimation for a Class of Nonlinear Time-Varying Systems Over Sensor Networks: The Finite-Horizon Case.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations.
IEEE Trans. Neural Networks Learn. Syst., 2019

Nonfragile Near-Optimal Control of Stochastic Time-Varying Multiagent Systems With Control- and State-Dependent Noises.
IEEE Trans. Cybern., 2019

Set-Membership Filtering for State-Saturated Systems With Mixed Time-Delays Under Weighted Try-Once-Discard Protocol.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Delay-distribution-dependent non-fragile state estimation for discrete-time neural networks under event-triggered mechanism.
Neural Comput. Appl., 2019

On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays.
Neural Comput. Appl., 2019

Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol.
Neurocomputing, 2019

H∞ State Estimation for Neural Networks Subject to Missing Measurements with Uncertain Missing Probabilities<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019

2018
Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2018

Improved Tobit Kalman filtering for systems with random parameters via conditional expectation.
Signal Process., 2018

Protocol-based state estimation for delayed Markovian jumping neural networks.
Neural Networks, 2018

Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes.
Int. J. Gen. Syst., 2018

Event-triggered distributed filtering over sensor networks with deception attacks and partial measurements.
Int. J. Gen. Syst., 2018

2017
H<sub>∞</sub> state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.
Neural Networks, 2017

Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels.
Inf. Fusion, 2017

State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Nonfragile H<sub>∞</sub> Fuzzy Filtering With Randomly Occurring Gain Variations and Channel Fadings.
IEEE Trans. Fuzzy Syst., 2016

On ℋ<sub>∞</sub> Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems With Fading Channels.
IEEE Trans. Autom. Control., 2016

Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties.
Neurocomputing, 2016

A new approach to non-fragile state estimation for continuous neural networks with time-delays.
Neurocomputing, 2016

Non-fragile state estimation for discrete Markovian jumping neural networks.
Neurocomputing, 2016

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

Distributed fault estimation with randomly occurring uncertainties over sensor networks.
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
Event-Based H<sub>∞</sub> Filter Design for a Class of Nonlinear Time-Varying Systems With Fading Channels and Multiplicative Noises.
IEEE Trans. Signal Process., 2015

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

On general systems with network-enhanced complexities.
Int. J. Gen. Syst., 2015

Event-triggered robust distributed state estimation for sensor networks with state-dependent noises.
Int. J. Gen. Syst., 2015

Finite-horizon reliable control with randomly occurring uncertainties and nonlinearities subject to output quantization.
Autom., 2015

Envelope-constrained <sub>H</sub><sub>∞</sub> filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case.
Autom., 2015

2014
Distributed filtering with randomly occurring uncertainties over sensor networks: the channel fading case.
Int. J. Gen. Syst., 2014

Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems.
Autom., 2014

Event-based filtering for discrete time-varying systems.
Proceedings of the 20th International Conference on Automation and Computing, 2014

2013
Distributed ℋ<sub>∞</sub> Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks.
IEEE Trans. Ind. Electron., 2013

Finite-Horizon H<sub>∞</sub> Filtering With Missing Measurements and Quantization Effects.
IEEE Trans. Autom. Control., 2013

<i>H</i><sub><i>∞</i></sub>H∞ consensus control for multi-agent systems with missing measurements: The finite-horizon case.
Syst. Control. Lett., 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

2012
Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts.
IEEE Trans. Signal Process., 2012

Fuzzy-Model-Based Robust Fault Detection With Stochastic Mixed Time Delays and Successive Packet Dropouts.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Fault Detection for Markovian Jump Systems With Sensor Saturations and Randomly Varying Nonlinearities.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays.
Signal Process., 2012

Distributed H<sub>∞</sub> state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case.
Autom., 2012

2011
Robust <i>H</i><sub>infty</sub> Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case.
IEEE Trans. Signal Process., 2011

Robust distributed state estimation for sensor networks with multiple stochastic communication delays.
Int. J. Syst. Sci., 2011

Distributed <sub> ∞ </sub> filtering for repeated scalar nonlinear systems with random packet losses in sensor networks.
Int. J. Syst. Sci., 2011

2010
Variance-constrained H∞ filtering for a class of nonlinear time-varying systems with multiple missing measurements: the finite-horizon case.
IEEE Trans. Signal Process., 2010

Robust H∞ filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts.
IEEE Trans. Signal Process., 2010

Robust H<sub>∞</sub> Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements.
IEEE Trans. Fuzzy Syst., 2010

Robust <i>H</i><sub>∞</sub> Finite-Horizon Control for a Class of Stochastic Nonlinear Time-Varying Systems Subject to Sensor and Actuator Saturations.
IEEE Trans. Autom. Control., 2010

Robust finite-horizon filtering of time-varying networked systems with error variance constraints.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
H<sub>∞</sub> Fuzzy Control for Systems With Repeated Scalar Nonlinearities and Random Packet Losses.
IEEE Trans. Fuzzy Syst., 2009

H<sub>∞</sub> filtering for systems with repeated scalar nonlinearities under unreliable communication links.
Signal Process., 2009

On H<sub>infinity</sub> control with multiple packet dropouts: Dealing with repeated scalar nonlinearities.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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