Data-driven-based sliding-mode dynamic event-triggered control of unknown nonlinear systems via reinforcement learning

Neurocomputing, Journal Year: 2024, Volume and Issue: 601, P. 128176 - 128176

Published: July 9, 2024

Language: Английский

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Adaptive Reinforcement Learning for Fault-Tolerant Optimal Consensus Control of Nonlinear Canonical Multiagent Systems With Actuator Loss of Effectiveness

IEEE Systems Journal, Journal Year: 2024, Volume and Issue: 18(3), P. 1681 - 1692

Published: Aug. 13, 2024

Language: Английский

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Observer‐based optimal fault‐tolerant tracking control for input‐constrained interconnected nonlinear systems with mismatched disturbances

Optimal Control Applications and Methods, Journal Year: 2024, Volume and Issue: 45(6), P. 2572 - 2595

Published: July 16, 2024

Summary This paper investigates an observer‐based optimal fault‐tolerant tracking control problem for interconnected nonlinear systems with input constraints and mismatched disturbances via adaptive dynamic programming (ADP). Firstly, augmented system consisting of error the reference trajectory is constructed, then original transformed into regulation system. An integral sliding‐mode‐based scheme developed to eliminate effect actuator faults guarantee performance. Furthermore, a neural network‐based observer designed identify completely unknown dynamics based on input‐output data, thereby relaxing restriction dynamics. Subsequently, modified Hamilton‐Jacobi‐Bellman equations are solved by using ADP algorithm under critic network framework. According Lyapunov approach, all signals in closed‐loop uniformly ultimately bounded. Finally, effectiveness demonstrated simulation results.

Language: Английский

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Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism

Information Sciences, Journal Year: 2024, Volume and Issue: 689, P. 121350 - 121350

Published: Aug. 23, 2024

Language: Английский

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Dual-Channel Event-Triggered Prescribed Performance Adaptive Fuzzy Time-Varying Formation Tracking Control for Nonlinear Multi-Agent Systems

Fuzzy Sets and Systems, Journal Year: 2024, Volume and Issue: unknown, P. 109140 - 109140

Published: Sept. 1, 2024

Language: Английский

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Observer-Based Event-Triggered Adaptive Fuzzy Hierarchical Sliding Mode Fault-Tolerant Control for Uncertain Under-Actuated Nonlinear Systems

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Language: Английский

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Adaptive neural self-triggered bipartite consensus control for nonlinear fractional-order multi-agent systems with actuator fault

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Language: Английский

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ADP-based online compensation hierarchical sliding-mode control for partially unknown switched nonlinear systems with actuator failures

ISA Transactions, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

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Identifying influential nodes in complex networks: a semi-local centrality measure based on augmented graph and average shortest path theory

Telecommunication Systems, Journal Year: 2025, Volume and Issue: 88(1)

Published: Jan. 25, 2025

Language: Английский

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Adaptive neural hierarchical sliding mode control for uncertain switched underactuated nonlinear systems against unmodeled dynamics and input delay

Asian Journal of Control, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

Abstract In this article, the issue of adaptive control for switched underactuated systems subject to input delay and unmodeled dynamics is investigated. Unlike traditional backstepping methods, paper introduces a hierarchical sliding mode (HSMC) approach that can improve response rate robustness controlled plant. Under framework method, top surface (HSMS) containing all information state variables an effective controller consisting switching laws equivalent are constructed. design process, auxiliary system hyperbolic tangent function introduced compensate impact while avoiding singularity problems. addition, dynamic signal designed effect dynamics. The ensure signals closed‐loop system, including states bounded. Finally, benefits proposed HSMC confirmed by two simulation examples.

Language: Английский

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