Robust control design using H-8 methods / Ian R. Petersen, Valery A. Ugrinovskii and Andrey V. Savkin

Por: Petersen, Ian RTipo de material: TextoTextoSeries Communication and control engineeringDetalles de publicación: London : Springer, 2000 Descripción: XVI, 451 p. : il. ; 24 cmISBN: 1-85233-171-2Tema(s): Control automático | Control, Teoría deResumen: This book provides a unified collection of important, recent results for the design of robust controllers for uncertain systems. Most of the results presented are based on H? control theory, or its stochastic counterpart, risk sensitive control theory. Central to the philosophy of the book is the notion of an uncertain system. Uncertain systems are considered using several different uncertainty modeling schemes. These include norm bounded uncertainty, integral quadratic constraint (IQC) uncertainty and a number of stochastic uncertainty descriptions. In particular, the authors examine stochastic uncertain systems in which the uncertainty is outlined by a stochastic version of the IQC uncertainty description. For each class of uncertain systems covered in the book, corresponding robust control problems are defined and solutions discussed.Resumen: INDICE: 1) Introduction 2) Uncertain Systems 3) H Control and Related Preliminary Results 4) The S-procedure 5) Guaranteed Cost Control of Time-Invariant Uncertain Systems 6) Finite Horizon Guaranteed Cost Control 7) Absolute Stability, Absolute Stabilization and Structured Dissipativity 8) Robust Control of Stochastic Uncertain Systems 9) Nonlinear versus Linear Control 10) Missile Autopilot Design via Guaranteed Cost Control of Stochastic Uncertain Systems 11) Robust Control of Acoustic Noise in a Duct via Minimax Optimal LQG Control. Appendix A, Basic Duality Relationships for Relative Entropy, Appendix B, Metr... Etc.
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Bibliografía: p. [427]-447

This book provides a unified collection of important, recent results for the design of robust controllers for uncertain systems. Most of the results presented are based on H? control theory, or its stochastic counterpart, risk sensitive control theory. Central to the philosophy of the book is the notion of an uncertain system. Uncertain systems are considered using several different uncertainty modeling schemes. These include norm bounded uncertainty, integral quadratic constraint (IQC) uncertainty and a number of stochastic uncertainty descriptions. In particular, the authors examine stochastic uncertain systems in which the uncertainty is outlined by a stochastic version of the IQC uncertainty description. For each class of uncertain systems covered in the book, corresponding robust control problems are defined and solutions discussed.

INDICE: 1) Introduction 2) Uncertain Systems 3) H Control and Related Preliminary Results 4) The S-procedure 5) Guaranteed Cost Control of Time-Invariant Uncertain Systems 6) Finite Horizon Guaranteed Cost Control 7) Absolute Stability, Absolute Stabilization and Structured Dissipativity 8) Robust Control of Stochastic Uncertain Systems 9) Nonlinear versus Linear Control 10) Missile Autopilot Design via Guaranteed Cost Control of Stochastic Uncertain Systems 11) Robust Control of Acoustic Noise in a Duct via Minimax Optimal LQG Control. Appendix A, Basic Duality Relationships for Relative Entropy, Appendix B, Metr... Etc.

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