Adaptive and optimal regulation controller design for fractional linear multi‐agent systems

Tingting Zhou, Huaiqin Wu, Jinde Cao, Xia Li
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Abstract

Summary This express brief is concerned with the adaptive and optimal regulation control for fractional linear multi‐agent systems (MASs). Firstly, the adaptive control strategy is applied to address the regulation issue for fractional linear MASs with time varying edges. Under the designed adaptive control protocols with adaptive edge‐dependent synchronization gain, the regulation condition is achieved by constructing a Lyapunov functional with the edges. Secondly, the optimal control approach is used to solve the regulation issue for fractional linear MASs with constant edges. The optimization gain is chosen by minimizing an appropriate performance function. Moreover, the synchronization objectives are also achieved based on the proposed the regulation conditions. Finally, the correctness of the theoretical analysis and the feasibility of the designed controllers are verified by two numerical examples.

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分数阶线性多智能体系统的自适应最优调节控制器设计
本文主要研究分数阶线性多智能体系统(MASs)的自适应最优调节控制问题。首先,应用自适应控制策略解决了带时变边的分数阶线性质量的调节问题。在设计的具有自适应边相关同步增益的自适应控制协议下,通过构造带有边的Lyapunov泛函来实现调节条件。其次,采用最优控制方法解决了常边分数阶线性质量的调节问题。通过最小化适当的性能函数来选择优化增益。根据所提出的调节条件,实现了系统的同步目标。最后,通过两个数值算例验证了理论分析的正确性和所设计控制器的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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