Mono- and multivariable control and estimation: linear, quadratic and LMI methods

This book presents the various design methods of a state-feedback control law, and of an observer for the case the system state is not fully measurable. The considered systems are as well continuous-time as discrete-time, monovariable or multivariable, the last ones being of main consideration. Two complementary approaches are described: The modal control method, where the dynamic aspect is privileged; ?Quadratic optimization methods (Linear Quadratic optimal, orLQC control, optimal Kalman filtering, Linear Quadratic Gaussian, or LQG control). The control-observation duality is taken to advantage and extended up tothe mathematical level. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The MATLAB programs, which have been created by the author for their solving, are available on the Internet site of MathWorks for downloading." A large number of exercises, all given with their detailedsolutions With Matlab programs for download Revised translation and actualization of the succesfsul French textbook INDICE: 1 State Space Control Design.- 2 Observer Theory.- 3 Optimal Control.- 4 Noisy Systems – Optimal Linear Filtering.- 5 Optimal Stochastic Control.- 6 Linear Matrix Inequalities.- Appendix A: State Space Representation of Systems.- Appendix B: Complements of Matrix Calculous.- Appendix C: Review of Probability Theory.- Appendix D: Simulation Diagrams.- Bibliography.- Index.

• ISBN: 978-3-642-13733-4
• Editorial: Springer
• Encuadernacion: Rústica
• Páginas: 360
• Fecha Publicación: 06/12/2010
• Nº Volúmenes: 1
• Idioma: Inglés