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Titlebook: Control Systems Theory with Engineering Applications; Sergey Edward Lyshevski Book 2001 Springer Science+Business Media New York 2001 MATL

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發(fā)表于 2025-3-21 16:15:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Control Systems Theory with Engineering Applications
編輯Sergey Edward Lyshevski
視頻videohttp://file.papertrans.cn/238/237277/237277.mp4
叢書名稱Control Engineering
圖書封面Titlebook: Control Systems Theory with Engineering Applications;  Sergey Edward Lyshevski Book 2001 Springer Science+Business Media New York 2001 MATL
描述Dynamics systems (living organisms, electromechanical and industrial systems, chemical and technological processes, market and ecology, and so forth) can be considered and analyzed using information and systems theories. For example, adaptive human behavior can be studied using automatic feedback control. As an illustrative example, the driver controls a car changing the speed and steer- ing wheels using incoming information, such as traffic and road conditions. This book focuses on the most important and manageable topics in applied multivariable control with application to a wide class of electromechanical dynamic systems. A large spectrum of systems, familiar to electrical, mechanical, and aerospace stu- dents, engineers, and scholars, are thoroughly studied to build the bridge between theory and practice as well as to illustrate the practical application of control theory through illustrative examples. It is the author‘s goal to write a book that can be used to teach undergraduate and graduate classes in automatic control and nonlin- ear control at electrical, mechanical, and aerospace engineering departments. The book is also addressed to engineers and scholars, and the exampl
出版日期Book 2001
關(guān)鍵詞MATLAB; aerospace engineering; control engineering; mechatronics; micro-alloy transistor; nonlinear contr
版次1
doihttps://doi.org/10.1007/978-1-4612-0153-3
isbn_softcover978-1-4612-6636-5
isbn_ebook978-1-4612-0153-3Series ISSN 2373-7719 Series E-ISSN 2373-7727
issn_series 2373-7719
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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https://doi.org/10.1007/978-3-642-99608-5instreams in control system engineering. The designer describes physical system dynamics in the form of differential or difference equations, and the comprehensive analysis of complex dynamics systems is performed analytically or numerically solving these equations. To develop mathematical models of
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Vorlesungen über Differentialgeometrie I-integralderivative (PID) controllers as well as state-space control algorithms It should be emphasized that the PID control laws use the tracking error.whereas the state-space controllers use the tracking error.and the state variables.Proportional-integral-derivative and state-space control algorit
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Control Engineeringhttp://image.papertrans.cn/c/image/237277.jpg
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Introduction: Modeling, Identification, Optimization, and Control,instreams in control system engineering. The designer describes physical system dynamics in the form of differential or difference equations, and the comprehensive analysis of complex dynamics systems is performed analytically or numerically solving these equations. To develop mathematical models of
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