期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 18, 期 9, 页码 6026-6037出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2021.3133927
关键词
Informatics; Control systems; Optimal control; Nonlinear dynamical systems; Stochastic processes; Stability analysis; Robots; Actor-critic architecture; Lyapunov stability theory; second-order stochastic multiagent systems; unknown nonlinear dynamics
类别
资金
- National Natural Science Foundation of China [61822307, 62173172]
This article studies the adaptive optimized formation control problem for second-order stochastic multiagent systems with unknown nonlinear dynamics. Fuzzy logic systems are used to approximate the nonlinear functions in the control design. By employing the actor-critic architecture and Lyapunov stability theory, the proposed optimal formation control strategy ensures that all the error signals are bounded in probability. Simulation examples verify the effectiveness of the proposed formation control approach.
In this article, an adaptive optimized formation control problem is studied for the second-order stochastic multiagent systems (MASs) with unknown nonlinear dynamics. Compared with first-order formation control, the second-order MASs consider not only the states but also the states rates, which is certainly more challenging and difficult work. In the control design of this article, the fuzzy logic systems are applied to approximate the nonlinear functions. By employing the actor-critic architecture and Lyapunov stability theory, the proposed optimal formation control strategy ensures that all the error signals are bounded in probability. Finally, the simulation examples verify that the proposed formation control approach achieves desired results.
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