An observer-based approach to adaptive tracking for switched strict-feedback nonlinear systems with state quantization and sensor faults

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-01 DOI:10.1016/j.jfranklin.2024.107309
Chen Chen, Jinghao Li, Huimin Wang
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Abstract

This paper investigates the adaptive tracking problems of switched single-input single-output strict-feedback nonlinear systems with state quantization and sensor faults. In order to alleviate the influence of the potential sensor faults and smooth the discontinuous quantized signals, a state observer is established. Then, an observer-based adaptive quantized fault-tolerant controller is designed by introducing a set of new error variables. It is shown that the presented approach can enable the output tracking error to be arbitrarily small. At last, three examples are given to illustrate the effectiveness of the presented method.
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基于观测器的开关式严格反馈非线性系统自适应跟踪方法(带状态量化和传感器故障
本文研究了具有状态量化和传感器故障的开关式单输入单输出严格反馈非线性系统的自适应跟踪问题。为了减轻潜在传感器故障的影响并平滑不连续的量化信号,本文建立了一个状态观测器。然后,通过引入一组新的误差变量,设计出基于观测器的自适应量化容错控制器。结果表明,所提出的方法可以使输出跟踪误差达到任意小的程度。最后,给出了三个例子来说明所提方法的有效性。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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