Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming

Zhang，Yongwei1; Zhao，Bo2; Liu，Derong3; Zhang，Shunchao4

2022

10.1109/TNNLS.2022.3217774

IEEE Transactions on Neural Networks and Learning Systems   Impact Factor & Quartile

2162-237X

2162-2388

This article develops a distributed fault-tolerant consensus control (DFTCC) approach for multiagent systems by using adaptive dynamic programming. By establishing a local fault observer, the potential actuator faults of each agent are estimated. Subsequently, the DFTCC problem is transformed into an optimal consensus control problem by designing a novel local value function for each agent which contains the estimated fault, the consensus errors, and the control laws of the local agent and its neighbors. In order to solve the coupled Hamilton–Jacobi–Bellman equation of each agent, a critic-only structure is established to obtain the approximate local optimal consensus control law of each agent. Moreover, by using Lyapunov’s direct method, it is proven that the approximate local optimal consensus control law guarantees the uniform ultimate boundedness of the consensus error of all agents, which means that all following agents with potential actuator faults synchronize to the leader. Finally, two simulation examples are provided to validate the effectiveness of the present DFTCC scheme.

Actuators Adaptive dynamic programming Consensus control Dynamic programming Fault tolerance Fault tolerant systems fault-tolerant control Mathematical models Multi-agent systems multiagent systems optimal consensus control

SCI ; EI

English

Others

WOS:000881954100001

20224613112829

Actuators ; Adaptive control systems ; Control theory ; Distributed computer systems ; Estimation ; Fault tolerance ; Multi agent systems

Digital Computers and Systems:722.4 ; Control Systems:731.1 ; Control Equipment:732.1 ; Mathematics:921 ; Optimization Techniques:921.5

2-s2.0-85141631014

Scopus

1.School of Automation, Guangdong University of Technology, Guangzhou, China
2.School of Systems Science, Beijing Normal University, Beijing, China
3.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
4.School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, China

Zhang，Yongwei,Zhao，Bo,Liu，Derong,et al. Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming[J]. IEEE Transactions on Neural Networks and Learning Systems,2022,PP(99):1-13.

Zhang，Yongwei,Zhao，Bo,Liu，Derong,&Zhang，Shunchao.(2022).Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming.IEEE Transactions on Neural Networks and Learning Systems,PP(99),1-13.

Zhang，Yongwei,et al."Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming".IEEE Transactions on Neural Networks and Learning Systems PP.99(2022):1-13.