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Titlebook: Robust Control; Systems with Uncerta Jürgen Ackermann,Dieter Kaesbauer,Andrew Bartlett Book 19931st edition Springer-Verlag London 1993 Aut

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書(shū)目名稱(chēng)Robust Control
副標(biāo)題Systems with Uncerta
編輯Jürgen Ackermann,Dieter Kaesbauer,Andrew Bartlett
視頻videohttp://file.papertrans.cn/832/831268/831268.mp4
叢書(shū)名稱(chēng)Communications and Control Engineering
圖書(shū)封面Titlebook: Robust Control; Systems with Uncerta Jürgen Ackermann,Dieter Kaesbauer,Andrew Bartlett Book 19931st edition Springer-Verlag London 1993 Aut
描述Many plants have large variations in operating conditions. To ensure smooth running it is essential to find a simple fixed gain controller that guarantees rapidly decaying and well-damped transients for all admissible operating conditions. .Robust Control. presents design tools, developed by the authors, for the solution of this design problem. Examples of simple and complex cases such as a crane, a flight control problem and the automatic and active four-wheel steering of a car illustrate the use of these tools. This book is intended for anyone who has taken an undergraduate course in feedback control systems and who seeks an advanced treatment of robust control with applications. Drawing on the resources and authoritative research of a leading aerospace institute, it will mainly be of interest to mechanical and electrical engineers in universities, institutes and industrial research centres.
出版日期Book 19931st edition
關(guān)鍵詞Automotive Control; Matlab; PID Control; aerospace engineering; control; control system; control theory; di
版次1
doihttps://doi.org/10.1007/978-1-4471-3365-0
isbn_ebook978-1-4471-3365-0Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer-Verlag London 1993
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https://doi.org/10.1007/978-1-4471-3365-0Automotive Control; Matlab; PID Control; aerospace engineering; control; control system; control theory; di
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Robust Control978-1-4471-3365-0Series ISSN 0178-5354 Series E-ISSN 2197-7119
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Parameter Space Design, .) we want to find . . = . such that the polynomial .(., .) is Γ-stable for all . ∈ .. Generic situations are:1. There exists such a . and also a neighborhood . of . has the same property, see Fig. 3.10. We want to pick the “best” . ∈ . in consideration of further design requirements.
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