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Titlebook: Robust Control Theory; Bruce A. Francis,Pramod P. Khargonekar Conference proceedings 1995 Springer-Verlag New York, Inc. 1995 Approximatio

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書目名稱Robust Control Theory
編輯Bruce A. Francis,Pramod P. Khargonekar
視頻videohttp://file.papertrans.cn/832/831278/831278.mp4
叢書名稱The IMA Volumes in Mathematics and its Applications
圖書封面Titlebook: Robust Control Theory;  Bruce A. Francis,Pramod P. Khargonekar Conference proceedings 1995 Springer-Verlag New York, Inc. 1995 Approximatio
描述Robust control originates with the need to cope with systems with modeling uncertainty. There have been several mathematical techniques developed for robust control system analysis. The articles in this volume cover all of the major research directions in the field.
出版日期Conference proceedings 1995
關(guān)鍵詞Approximation; algebra; calculus; control; control system; control theory; linear optimization; system
版次1
doihttps://doi.org/10.1007/978-1-4613-8451-9
isbn_softcover978-1-4613-8453-3
isbn_ebook978-1-4613-8451-9Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 1995
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On the Computation of Suboptimal ,, Controllers for Unstable Infinite Dimensional Systems,nd [14] the ... control problem was solved for unstable distributed plants. Our solution for the . control problem of . distributed plants is based on the techniques developed in [6] and [13]. We obtain a computable expression for the suboptimal .. controllers and identify their finite and infinite dimensional parts.
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Robust Stabilization for Parametric Uncertainty with Application to Magnetic Levitation,rms of a Riccati equation containing at most 2(. + 1) free parameters. The results are applied to the stabilizing control of a magnetic levitation system. The effectiveness of our method is illustrated both in simulations and experiments.
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Robust Stabilization for Parametric Uncertainty with Application to Magnetic Levitation,rying uncertainties. The quadratic stability problem for the system is reduced to finding a common positive definite solution of 2. Lyapunov equations, where . is the number of uncertain scalar parameters. A sufficient condition for the quadratic stabilizability of uncertain systems is derived in te
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