ADP-based event-sampled optimized consensus tracking of stochastic multi-agent systems with actuator faults

Hao‐Yang Zhu; Yuan‐Xin Li; Shaocheng Tong

doi:10.1016/j.jfranklin.2023.09.020

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ADP-based event-sampled optimized consensus tracking of stochastic multi-agent systems with actuator faults

Hao‐Yang Zhu Yuan‐Xin Li Shaocheng Tong

Year: 2023 Journal: Journal of the Franklin Institute Vol: 360 (17)Pages: 13459-13481 Publisher: Elsevier BV

DOI: 10.1016/j.jfranklin.2023.09.020

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Keywords:

Control theory (sociology) Identifier Actuator Computer science Controller (irrigation) Estimator Lyapunov function Lyapunov stability Dynamic programming Backstepping Fault (geology) Nonlinear system Adaptive control Control (management) Mathematics Artificial intelligence Algorithm

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Adaptive Dynamic Programming Control

Physical Sciences → Computer Science → Computational Theory and Mathematics

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Neural Networks Stability and Synchronization

Physical Sciences → Computer Science → Computer Networks and Communications

ADP-based event-sampled optimized consensus tracking of stochastic multi-agent systems with actuator faults

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