Suboptimal Control Using Model Order Reduction

Q4 Engineering
A. Pati, Awadhesh Kumar, D. Chandra
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引用次数: 22

Abstract

A Pade approximation based technique for designing a suboptimal controller is presented. The technique uses matching of both time moments and Markov parameters for model order reduction. In this method, the suboptimal controller is first derived for reduced order model and then implemented for higher order plant by partial feedback of measurable states.
基于模型阶约简的次优控制
提出了一种基于Pade逼近的次优控制器设计方法。该技术利用时间矩和马尔可夫参数的匹配来进行模型降阶。该方法首先推导了降阶模型的次优控制器,然后利用可测状态的部分反馈实现了高阶对象的次优控制器。
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来源期刊
工程设计学报
工程设计学报 Engineering-Engineering (miscellaneous)
CiteScore
0.60
自引率
0.00%
发文量
2447
审稿时长
14 weeks
期刊介绍: Chinese Journal of Engineering Design is a reputable journal published by Zhejiang University Press Co., Ltd. It was founded in December, 1994 as the first internationally cooperative journal in the area of engineering design research. Administrated by the Ministry of Education of China, it is sponsored by both Zhejiang University and Chinese Society of Mechanical Engineering. Zhejiang University Press Co., Ltd. is fully responsible for its bimonthly domestic and oversea publication. Its page is in A4 size. This journal is devoted to reporting most up-to-date achievements of engineering design researches and therefore, to promote the communications of academic researches and their applications to industry. Achievments of great creativity and practicablity are extraordinarily desirable. Aiming at supplying designers, developers and researchers of diversified technical artifacts with valuable references, its content covers all aspects of design theory and methodology, as well as its enabling environment, for instance, creative design, concurrent design, conceptual design, intelligent design, web-based design, reverse engineering design, industrial design, design optimization, tribology, design by biological analogy, virtual reality in design, structural analysis and design, design knowledge representation, design knowledge management, design decision-making systems, etc.
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