In this paper, an adaptive fuzzy predictive controller (AFPC) is designed and analyzed for a class of networked nonlinear systems with time-varying communication delay. The integration of the communication network in the control loops makes the nonlinear system has forward and feedback time-varying delays. The proposed controller compensates the network-induced delays in the forward and feedback channels. The structure of the AFPC consists of adaptive fuzzy logic control (AFLC) with state predictor located at the controlled plant and a remote adaptive smith predictive controller at the master node. The AFLC and the state predictor are utilized to identify the dynamic of the time-varying delay-free nonlinear plant in order to cancel the nonlinear term for the nonlinear control system in a canonical form. In the remote controller, adaptive smith predictor is employed to compensate the time-varying delay effect to achieve the desired tracking performance. Based on the Lyapunov theory, the stability of the closed-loop system is guaranteed in the presence of bounded external disturbance and time-varying delays. Simulated application of Van der Pol oscillator is provided to demonstrate the feasibility and effectiveness of the proposed scheme based on TrueTime toolbox.

中文翻译：

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一类时变时滞网络非线性系统的自适应模糊预测控制器


本文针对一类具有时变通信延迟的网络非线性系统，设计并分析了自适应模糊预测控制器（AFPC）。控制回路中通信网络的集成使得非线性系统具有前向和反馈时变延迟。所提出的控制器补偿了前向和反馈通道中网络引起的延迟。 AFPC 的结构由位于受控对象的状态预测器的自适应模糊逻辑控制（AFLC）和位于主节点的远程自适应史密斯预测控制器组成。利用AFLC和状态预测器来辨识时变无时滞非线性对象的动态，从而以规范形式消除非线性控制系统的非线性项。在遥控器中，采用自适应史密斯预测器来补偿时变延迟效应，以达到期望的跟踪性能。基于Lyapunov理论，在存在有界外部干扰和时变延迟的情况下保证了闭环系统的稳定性。给出了Van der Pol振荡器的仿真应用，证明了基于TrueTime工具箱的方案的可行性和有效性。