青岛科技大学主页平台管理系统朱善良--朱善良-- Multi-dimensional Taylor network-based adaptive fixed-time tracking control for a class of nonlinear systems with input delay

Multi-dimensional Taylor network-based adaptive fixed-time tracking control for a class of nonlinear systems with input delay: 点击次数：; 关键字：OUTPUT-FEEDBACK CONTROL; SLIDING MODE CONTROL; FUZZY CONTROL; MULTIAGENT SYSTEMS; CONSENSUS TRACKING; FINITE-TIME; STABILIZATION; 摘要：For the nonlinear systems with input delay, an adaptive fixed-time tracking control strategy based on multi-dimensional Taylor network (MTN) is proposed for the first time. First, to address the main challenge brought by input delay, an auxiliary system is constructed, which transforms the input delay systems into non-delay systems. Second, the MTNs are introduced into the backstepping design process, which reduce the design difficulty by approximating unknown nonlinear functions. Thus, a control scheme subject to low complexity is obtained. Third, aside from ensuring that the tracking error converges within a small neighbourhood of the origin within a fixed-time, the designed control scheme not only makes all signals in the closed-loop system remain bounded, but also avoids the problem of finite-time control relying on initial state. Finally, three simulations are given to prove the feasibility and superiority of the proposed control scheme.; 卷号：98; 期号：1; 是否译文：否

上一条： Adaptive Tracking Control of Nonlinear Multi-Agent Systems Subject to Multiple Constraints via Multi-Dimensional Taylor Network

下一条： Event-Triggered Adaptive Asymptotic Tracking Control for Stochastic Non-Linear Systems With Unknown Hysteresis: A New Switching Threshold Approach