Second-order PDα-type iterative learning control for fractional-order linear time-delay switched systems with noise

IF 2.7 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control Pub Date : 2026-03-09 Epub Date: 2025-04-16 DOI:10.1002/asjc.3674

DR Sahu, Nitish Kumar Singh

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引用次数: 0

Abstract

The purpose of the paper is to introduce a novel second-order PD $^{α}$ -type fractional-order iterative learning control algorithm for a broad class of fractional-order linear continuous-time switched systems with time delay. The convergence of the proposed second-order PD $^{α}$ -type fractional-order iterative learning control algorithm is analyzed in the absence of external noise. The robustness of the system is examined under bounded measurement noise. The proposed second-order PD $^{α}$ -type fractional-order iterative learning control algorithm outperforms the first-order counterpart studied by Zhang and Peng (2020) and classic PD-type ILC. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.

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含噪声分数阶线性时滞切换系统的二阶pd - α型迭代学习控制

针对一类广泛的具有时滞的分数阶线性连续时间切换系统，提出了一种新的二阶PD α $$ {}&amp;#x0005E;{\alpha } $$型分数阶迭代学习控制算法。分析了二阶PD α $$ {}&amp;#x0005E;{\alpha } $$型分数阶迭代学习控制算法在无外部噪声情况下的收敛性。在有界测量噪声下检验了系统的鲁棒性。提出的二阶PD α $$ {}&amp;#x0005E;{\alpha } $$型分数阶迭代学习控制算法优于Zhang和Peng（2020）研究的一阶对应算法和经典PD型ILC。仿真结果验证了该算法的有效性和可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.