Asynchronous Sampled-Data Distributed Control Design for Uncertain Nonlinear Fractional-Order Multiagent Systems
针对含不确定性和时变扰动的非线性分数阶多智能体系统，提出一种异步采样数据分布式一致性控制协议，通过自适应反步法保证系统稳定并实现输出跟踪。
This study introduces a new asynchronous sampled-data distributed consensus control protocol for nonlinear fractional-order multiagent systems (MASs) containing system uncertainties along with time-varying disturbances. With strict consideration of the hereditary and infinite-memory characteristics of fractional-order systems, a novel adaptive backstepping-based distributed sampled-data control scheme is developed for individual agents with asynchronous sampling mechanisms. Through Lyapunov stability analysis, it is demonstrated that the proposed strategy guarantees the stability of the entire closed-loop system, meaning that all signals will remain within bounds and each agent can achieve output consensus with the specified time-varying reference trajectory. The efficacy of the proposed approach is illustrated through simulation studies, which also serve to validate the results obtained.