Jiangshuai Huang
Orcid: 0000-0002-2590-3738
According to our database1,
Jiangshuai Huang
authored at least 65 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Ind. Electron., February, 2024
IEEE Trans. Cybern., February, 2024
Performance-Driven Safe Bayesian Optimization for Intelligent Tuning of High-Order Cascade Systems.
IEEE Trans. Artif. Intell., February, 2024
Adaptive Control of Strict-Feedback Nonlinear Systems Under Denial-of-Service: A Synthetic Analysis.
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Ind. Electron., 2024
2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Distributed Control of Nonlinear Systems With Unknown Time-Varying Control Coefficients: A Novel Nussbaum Function Approach.
IEEE Trans. Autom. Control., July, 2023
Multivariable Finite-Time Composite Neural Control via Prescribed Performance for Error Norm.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Adaptive Control Design for Uncertain Underactuated Cranes With Nonsmooth Input Nonlinearities.
IEEE Trans. Syst. Man Cybern. Syst., 2023
IEEE Trans. Ind. Electron., 2023
Distributed Adaptive Formation Tracking Control of Mobile Robots With Event-Triggered Communication and Denial-of-Service Attacks.
IEEE Trans. Ind. Electron., 2023
Adaptive Fuzzy Control for Unknown Nonlinear Multiagent Systems With Switching Directed Communication Topologies.
IEEE Trans. Fuzzy Syst., 2023
Distributed optimal output feedback consensus control for nonlinear Euler-Lagrange systems under input saturation.
J. Frankl. Inst., 2023
Distributed adaptive control for high-order stochastic nonlinear systems with unknown control gains and uncertainties.
J. Control. Decis., 2023
Adaptive fault-tolerant control for uncertain nonlinear systems with both parameter estimator and controller triggering.
Autom., 2023
2022
Dynamic Event-Triggered Path-Following Control of Underactuated Surface Vehicle With the Experiment Verification.
IEEE Trans. Veh. Technol., 2022
Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adaptive Leaderless Consensus for Uncertain High-Order Nonlinear Multiagent Systems With Event-Triggered Communication.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adaptive Control Design for Underactuated Cranes With Guaranteed Transient Performance: Theoretical Design and Experimental Verification.
IEEE Trans. Ind. Electron., 2022
Distributed Observer-Based Cooperative Control Approach for Uncertain Nonlinear MASs Under Event-Triggered Communication.
IEEE Trans. Autom. Control., 2022
Quantized control of non-Lipschitz nonlinear systems: a novel control framework with prescribed transient performance and lower design complexity.
CoRR, 2022
Output feedback based adaptive consensus tracking for uncertain heterogeneous multi-agent systems with event-triggered communication.
Autom., 2022
Proceedings of the Neural Computing for Advanced Applications, 2022
2021
Event-Triggered Adaptive Output Feedback Control of Multivariable Systems With Nonsmooth Actuator Nonlinearities.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Iterative Learning Control of Multiple Autonomous Vehicles With a Time-Varying Reference Under Actuator Faults.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Distributed Adaptive Control for Asymptotically Consensus Tracking of Uncertain Nonlinear Systems With Intermittent Actuator Faults and Directed Communication Topology.
IEEE Trans. Cybern., 2021
J. Frankl. Inst., 2021
Adaptive leaderless consensus control of a class of strict feedback nonlinear systems with guaranteed transient performance under actuator faults.
J. Frankl. Inst., 2021
Adaptive backstepping based consensus tracking of uncertain nonlinear systems with event-triggered communication.
Autom., 2021
2020
Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering.
IEEE Trans. Autom. Control., 2020
J. Frankl. Inst., 2020
Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach.
J. Frankl. Inst., 2020
Recent advances in distributed adaptive consensus control of uncertain nonlinear multi-agent systems.
J. Control. Decis., 2020
Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults.
Autom., 2020
Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach.
Autom., 2020
2019
Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference and unknown control directions.
Trans. Inst. Meas. Control, 2019
IEEE Trans. Cybern., 2019
Adaptive control of uncertain underactuated cranes with a non-recursive control scheme.
J. Frankl. Inst., 2019
Finite-time leaderless consensus control of a group of Euler-Lagrangian systems with backlash nonlinearities.
J. Frankl. Inst., 2019
Leaderless consensus control of uncertain multi-agents systems with sensor and actuator attacks.
Inf. Sci., 2019
2018
Fully distributed adaptive consensus control for a class of nonlinear systems of directed topology.
Trans. Inst. Meas. Control, 2018
Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions.
IEEE Trans. Cybern., 2018
Int. J. Syst. Sci., 2018
Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients.
Autom., 2018
Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Indirect Neuroadaptive Control Design for High-order Nonlinear MIMO Systems with Actuator Failures.
Proceedings of the 15th International Conference on Control, 2018
2017
Robust adaptive tracking control of an underactuated ship with guaranteed transient performance.
Int. J. Syst. Sci., 2017
Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference.
Autom., 2017
Distributed adaptive asymptotically consensus tracking control of nonlinear multi-agent systems with unknown parameters and uncertain disturbances.
Autom., 2017
2016
Hierarchical Decomposition Based Consensus Tracking for Uncertain Interconnected Systems via Distributed Adaptive Output Feedback Control.
IEEE Trans. Autom. Control., 2016
Design of adaptive finite-time controllers for nonlinear uncertain systems based on given transient specifications.
Autom., 2016
Distributed adaptive control of multi-agent systems under directed graph for asymptotically consensus tracking.
Proceedings of the 14th International Conference on Control, 2016
2015
Syst. Control. Lett., 2015
Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems.
Autom., 2015
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015
2014
Autom., 2014
Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots.
Autom., 2014
2013
Adaptive stabilization and tracking control of a nonholonomic mobile robot with input saturation and disturbance.
Syst. Control. Lett., 2013
Adaptive flocking control of multiple nonholonomic mobile robots with limited communication ranges.
Proceedings of the 9th Asian Control Conference, 2013
Hierarchical decomposition based distributed adaptive control for output consensus tracking of uncertain nonlinear systems.
Proceedings of the American Control Conference, 2013
2012
Adaptive consensus tracking control of uncertain nonlinear systems: A first-order example.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2009
The Separation Property Enhancement of Liquid State Machine by Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks, 2009
Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons.
Proceedings of the Neural Information Processing, 16th International Conference, 2009