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Adaptive fuzzy output feedback fault-tolerant tracking control of switched uncertain nonlinear systems with sensor faults

机译:具有传感器故障的开关不确定非线性系统的自适应模糊输出反馈防尘跟踪控制

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This paper investigates the adaptive fuzzy output feedback fault-tolerant tracking control problem for a class of switched uncertain nonlinear systems with unknown sensor faults. In this paper, since the sensor may suffer from an unknown constant loss scaling failure, only actual output can be used for feedback design. A failure factor is employed to represent the loss of effectiveness faults. Then, an adaptive estimation coefficient is introduced to estimate the failure factor, and a state observer based on the actual output is constructed to estimate the system states. Fuzzy logic systems are used to approximate the unknown nonlinear functions. Based on the Lyapunov function method and the backstepping technique, the proposed control scheme with average dwell time constraints can guarantee that all states of the closed-loop system are bounded and the tracking error can converge to a small neighborhood of zero. Finally, two simulation examples are given to illustrate the effectiveness of the proposed scheme. (C) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文调查了具有未知传感器故障的一类交换不确定非线性系统的自适应模糊输出反馈容错跟踪控制问题。在本文中,由于传感器可能遭受未知的恒定损耗缩放故障,因此只能用于反馈设计的实际输出。使用失败因素来表示有效性的损失。然后,引入自适应估计系数以估计故障因子,并且构建基于实际输出的状态观察者以估计系统状态。模糊逻辑系统用于近似未知的非线性功能。基于Lyapunov功能方法和BackStepping技术,具有平均停留时间约束的所提出的控制方案可以保证闭环系统的所有状态被界限,跟踪误差可以收敛到零的小邻域。最后,给出了两个模拟示例来说明所提出的方案的有效性。 (c)2021年富兰克林学院。 elsevier有限公司出版。保留所有权利。

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    《Journal of the Franklin Institute》 |2021年第11期|5771-5794|共24页
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    Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China;

    Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China;

    Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China;

    Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China;

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