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Titlebook: Optimal Control with a Worst-Case Performance Criterion and Applications; M. Bala Subrahmanyam Book 1990 Springer-Verlag Berlin Heidelberg

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发表于 2025-3-21 19:09:00 | 显示全部楼层 |阅读模式
书目名称Optimal Control with a Worst-Case Performance Criterion and Applications
编辑M. Bala Subrahmanyam
视频video
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Optimal Control with a Worst-Case Performance Criterion and Applications;  M. Bala Subrahmanyam Book 1990 Springer-Verlag Berlin Heidelberg
出版日期Book 1990
关键词Disturbance Rejection; Model Reduction; Optimalwertregelung; Regelung; Störung; Störung (Math; ); control; m
版次1
doihttps://doi.org/10.1007/BFb0043621
isbn_softcover978-3-540-52822-7
isbn_ebook978-3-540-47158-5Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1990
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发表于 2025-3-21 21:53:53 | 显示全部楼层
Optimal disturbance rejection and performance robustness in linear systems, presence of parameter uncertainties is considered. An expression is derived for the variation of performance with parameter changes. The methodology has connections to the .. methods in the case of time-invariant systems. An application to an aircraft wing leveler system is given to illustrate the methodology.
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Necessary conditions for optimal disturbance rejection in linear systems,re also derived in the case of an observer-based controller. These conditions are useful in the synthesis of a controller which maximizes the disturbance rejection capacity of the system. The problem considered has connections to the .. control theory. An example is given.
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Synthesis of finite-interval ,, controllers by state space methods,ximized. An optimality condition for the maximization of this parameter is given. The proposed method makes use of the observer-based parametrization of all stabilizing controllers. An example is worked out.
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Optimal disturbance rejection and performance robustness in linear systems,f view. For a given set of system parameters, we obtain a measure of the disturbance rejection capacity of the system or observer. Optimization routines need to be employed to select control or observer gains which maximize the disturbance rejection capacity. The general case of time-varying linear
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