分数阶离散时间奇异系统的最优控制问题

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.2021.139733
Tirumalasetty Chiranjeevi, R. Biswas, R. Devarapalli, N. Babu, F. Márquez
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引用次数: 1

摘要

本文给出了固定终端状态和固定终端时间端点条件下分数阶离散时间奇异系统的最优控制公式和数值算法。性能指标(PI)为二次型,系统动力学为Riemann-Liouville分数阶导数(RLFD)。利用坐标变换将分数阶DTSS转化为其等效的非奇异形式,建立了最优控制问题(OCP)。用哈密顿法推导了必要条件。提出了一种求解OCP的算法。为了验证公式和求解算法,给出了固定终端状态和固定终端时间的实例。
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On optimal control problem subject to fractional order discrete time singular systems
In this work, we present optimal control formulation and numerical algorithm for fractional order discrete time singular system (DTSS) for fixed terminal state and fixed terminal time endpoint condition. The performance index (PI) is in quadratic form, and the system dynamics is in the sense of Riemann-Liouville fractional derivative (RLFD). A coordinate transformation is used to convert the fractional-order DTSS into its equivalent non-singular form, and then the optimal control problem (OCP) is formulated. The Hamiltonian technique is used to derive the necessary conditions. A solution algorithm is presented for solving the OCP. To validate the formulation and the solution algorithm, an example for fixed terminal state and fixed terminal time case is presented.
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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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