青岛科技大学主页平台管理系统朱善良--朱善良-- Tracking control for switched nonlinear systems subject to output hysteresis via adaptive multi-dimensional Taylor network approach

环流式旋风除尘器内颗粒运动的数值模拟: 点击次数：; 关键字：VARYING DELAY SYSTEMS; H-INFINITY CONTROL; FEEDBACK CONTROL; NEURAL-CONTROL; STABILIZATION; 摘要：For switched nonlinear systems with output hysteresis, by working on multi-dimensional Taylor network (MTN), an adaptive control strategy is put forward, which can effectively solve the tracking control problem. Firstly, the modified Bouc-Wen hysteresis model is employed to cope with the nonlinear problem caused by output hysteresis. Secondly, the Nussbaum function is introduced into the control design process, and MTN is used to approach nonlinear structures. Thirdly, a novel network adaptive control strategy is constructed with the help of a common Lyapunov function, which can realize the tracking control and stability of the system simultaneously. It is worth noting that as a new type of neural network, MTN is first used for control of switched systems with output hysteresis. Finally, two simulation examples show that the proposed control strategy is effective.; 卷号：96; 期号：7; 是否译文：否

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