Stabilization of coupled delayed nonlinear time fractional reaction diffusion systems using sampled-in-space sensing and actuation

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Tiane Chen, Juan Chen, Bo Zhuang
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引用次数: 0

Abstract

This paper is considered with the asymptotic stabilization of coupled delayed nonlinear time fractional reaction diffusion systems (FRDSs) governed by fractional parabolic partial differential equations (PDEs) with space-dependent coefficients under sampled-data in space control. It is assumed that state measurements can be averaged measurements (AMs) or point measurements (PMs), and a finite number of sensing and actuation devices are located in a spaced manner along the spatial domain of the interest. With the proposed sampled-data in space controller, the closed-loop H 1 $$ {H}&amp;amp;#x0005E;1 $$ stability is obtained. Tuning rules of system parameters and control parameters are derived using the fractional Halanay's inequality and the fractional Lyapunov method. Subsequently, the dual problem of observer design is formulated. Fractional examples are used to valid the theoretical result. Discussions on the extension of sampled-data boundary feedback stabilization are provided finally.

利用空间采样感应和致动稳定耦合延迟非线性时间分数反应扩散系统
本文考虑的是在空间控制采样数据下,由分数抛物线偏微分方程(PDEs)支配的具有空间依赖系数的耦合延迟非线性时间分数反应扩散系统(FRDSs)的渐近稳定问题。假设状态测量可以是平均测量(AMs)或点测量(PMs),有限数量的传感和致动装置沿感兴趣的空间域间隔分布。利用所提出的空间采样数据控制器,可以获得闭环稳定性。利用分数 Halanay 不等式和分数 Lyapunov 方法得出了系统参数和控制参数的调整规则。随后,提出了观测器设计的对偶问题。利用分数实例验证了理论结果。最后对采样数据边界反馈稳定的扩展进行了讨论。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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