An observer-based controller design for nonlinear discrete-time switched systems with time-delay and affine parametric uncertainty

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Archives of Control Sciences Pub Date : 2023-07-20 DOI:10.24425/ACS.2020.134675
N. Baleghi, M. Shafiei
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引用次数: 0

Abstract

This paper proposes a design procedure for observer-based controllers of discrete-time switched systems, in the presence of state’s time-delay, nonlinear terms, arbitrary switching signals, and affine parametric uncertainties. The proposed switched observer and the state-feedback controller are designed simultaneously using a set of linear matrix inequalities (LMIs). The stability analysis is performed based on an appropriate Lyapunov–Krasovskii functional with one switched expression, and in the meantime, the sufficient conditions for observer-based stabilization are developed. These conditions are formulated in the form of a feasibility test of a proposed bilinear matrix inequality (BMI) which is a non-convex problem. To make the problem easy to solve, the BMI is transformed into a set of LMIs using the singular value decomposition of output matrices. An important advantage of the proposed method is that the established sufficient conditions depend only on the upper bound of uncertain parameters. Furthermore, in the proposed method, an admissible upper bound for unknown nonlinear terms of the switched system may be calculated using a simple search algorithm. Finally, the efficiency of the proposed controller and the validity of the theoretical results are illustrated through a simulation example.
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具有时滞和仿射参数不确定性的非线性离散时间切换系统的观测器控制器设计
针对存在状态时滞、非线性项、任意切换信号和仿射参数不确定性的离散时间切换系统,提出了一种基于观测器的控制器设计方法。利用一组线性矩阵不等式(lmi)同时设计了切换观测器和状态反馈控制器。基于一个合适的Lyapunov-Krasovskii泛函进行了稳定性分析,同时给出了基于观测器的稳定的充分条件。这些条件以提出的双线性矩阵不等式(BMI)的一个非凸问题的可行性检验的形式表示。为了使问题易于求解,利用输出矩阵的奇异值分解将BMI转化为一组lmi。该方法的一个重要优点是所建立的充分条件只依赖于不确定参数的上界。此外,在该方法中,可以使用一种简单的搜索算法计算出开关系统的未知非线性项的允许上界。最后,通过仿真实例验证了所提控制器的有效性和理论结果的有效性。
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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