线性系统的输出反馈随机模型预测控制与凸优化方法

IF 1.5 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-03-23 DOI:10.1007/s40998-024-00703-3

Elham Banapour, Peyman Bagheri, Farzad Hashemzadeh

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引用次数: 0

摘要

本文针对离散时间线性时不变系统设计了一种随机模型预测控制器，并考虑了加性扰动和随机约束。我们知道，在实际应用中，测量系统的所有状态信息一般是不可能的，也是负担不起的。因此，在本研究中，假定将输出反馈法则作为控制法则。利用切比雪夫不等式和舒尔补码，尝试将随机非凸优化问题转化为确定性凸优化问题。仿真结果证明了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Output Feedback Stochastic Model Predictive Control for Linear Systems with Convex Optimization Approach

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Output Feedback Stochastic Model Predictive Control for Linear Systems with Convex Optimization Approach

In this paper, a stochastic model predictive controller is designed for discrete time linear time invariant systems, considering additive disturbance and stochastic constraints. As we know, in practical applications, measuring all state information of a system is not generally possible or affordable. So, in this work, an output feedback law is assumed as the control law. By utilizing the Chebyshev inequality and Schur complement, it is tried to convert a stochastic non-convex optimization problem into a deterministic convex optimization problem. Simulation results demonstrate the effectiveness of the proposed methodology.

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来源期刊

Iranian Journal of Science and Technology-Transactions of Electrical Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

5.50

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities. The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well as applications of established techniques to new domains in various electical engineering disciplines such as: Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers, organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.