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Titlebook: Singular Perturbations in Systems and Control; M. D. Ardema Book 1983 Springer-Verlag Wien 1983 Control.Lineares System.Nichtlineares Syst

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發(fā)表于 2025-3-21 18:07:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Singular Perturbations in Systems and Control
編輯M. D. Ardema
視頻videohttp://file.papertrans.cn/868/867901/867901.mp4
叢書名稱CISM International Centre for Mechanical Sciences
圖書封面Titlebook: Singular Perturbations in Systems and Control;  M. D. Ardema Book 1983 Springer-Verlag Wien 1983 Control.Lineares System.Nichtlineares Syst
出版日期Book 1983
關(guān)鍵詞Control; Lineares System; Nichtlineares System; Optimale Regelung; Singul?re St?rung; Systems; perturbatio
版次1
doihttps://doi.org/10.1007/978-3-7091-2638-7
isbn_softcover978-3-211-81751-3
isbn_ebook978-3-7091-2638-7Series ISSN 0254-1971 Series E-ISSN 2309-3706
issn_series 0254-1971
copyrightSpringer-Verlag Wien 1983
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發(fā)表于 2025-3-21 23:56:04 | 只看該作者
Singular Perturbations in Systems and Control978-3-7091-2638-7Series ISSN 0254-1971 Series E-ISSN 2309-3706
板凳
發(fā)表于 2025-3-22 04:15:54 | 只看該作者
0254-1971 Overview: 978-3-211-81751-3978-3-7091-2638-7Series ISSN 0254-1971 Series E-ISSN 2309-3706
地板
發(fā)表于 2025-3-22 07:53:47 | 只看該作者
Regular Perturbations in Optimal Control,atment of Cruz is limited to the case without constraints on the control. The main objective of this paper is to extend the theory to get rid of this restriction. Our method of proof is also different.
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An Introduction to Singular Perturbations in Nonlinear Optimal Control,Before turning to the general n-dimensional nonlinear optimal control problem, which is of primary interest in this paper, we will first consider a much simpler problem, namely the singularly perturbed, uncontrolled, autonomous, initial-value problem.where x(ε,t) and y(ε,t) are scalars, ε < 0, and x. and y. are constants.
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發(fā)表于 2025-3-23 04:43:02 | 只看該作者
Singular Perturbations in Nonlinear Systems and Optimal Control,Let us consider a nonlinear system.Where × ∈ ?., y ∈ ?. are state vectors, u ∈ ?. is a control vector, t ∈ [0, 1] and ε > 0 is a small parameter. The objectives is to find a control u(t) which minimizes the cost functional
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