Nonfragile Memory-Based PD-Like Sampled-Data Consensus Control for Nonlinear Multiagent Systems With Time-Varying Communication Delays
针对非线性多智能体系统在时变通信延迟下的一致性问题，提出一种非脆弱基于记忆的采样数据控制方法，通过改进的类比例微分方案和延迟乘积型李雅普诺夫泛函，得到更宽松的一致性条件，并实现更大的采样周期。
In this article, the consensus problem of nonlinear multiagent systems (MASs) with time-varying communication delays (TVCDs) is addressed by proposing a novel nonfragile memory-based sampled-data control approach. Different from the existing sampled-data control schemes, an improved memory-based proportional derivative like a sampled-data control scheme based on the information of neighbors is proposed. Besides, considering the inaccuracy and perturbation of controller, a nonfragile control method is also adopted to design the controller. Then, instead of the general quadratic type of the Lyapunov–Krasovskii functional, a delay-product-type quadratic is presented by taking full advantage of the information of TVCDs, and the positive definite constraint in the entire time domain is weakened to the sampled instants on account of adopting the two-sided looped-functional approach. Furthermore, less-conservative consensus criteria for MASs are developed. By solving linear matrix inequalities, the desired control gain matrices and larger sampled-data periods are achieved. Finally, illustrative examples are employed to demonstrate the effectiveness of the designed control strategy.