青岛科技大学主页平台管理系统朱善良--朱善良-- Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations

Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations: 点击次数：; 关键字：OUTPUT-FEEDBACK CONTROL; TRACKING CONTROL; STABILIZATION; DIRECTION; 摘要：This paper investigates an adaptive decentralized predefined performance control problem for a class of large-scale nonlinear systems with nonsymmetric input saturation by using multi-dimensional taylor network (MTN) approach. Firstly, the input saturation model is approximated by a smooth function with a bounded approximation error and unknown nonlinear functions are estimated by MTNs. Secondly, a decentralized tracking control algorithm is established by integrating the idea of prescribed performance control into backstepping recursive technique. Thirdly, by using the designed MTN-based adaptive decentralized controller, all the closed-loop signals are bounded and all the tracking errors satisfy the predefined transient and steady-state performance, respectively. Finally, the presented control method is effective by introducing three examples, and the simulation results verify that the correctness and reasonableness of the proposed control algorithm.; 卷号：34; 期号：13; 是否译文：否

上一条： Adaptive decentralized control for large-scale nonlinear systems with finite-time output constraints by multi- dimensional Taylor network

下一条： Oscillation of Two-Dimensional Neutral Delay Dynamic Systems