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Advances in linear matrix inequality methods in control Book

Advances in linear matrix inequality methods in control
Advances in linear matrix inequality methods in control, Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no, Advances in linear matrix inequality methods in control has a rating of 3 stars
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Advances in linear matrix inequality methods in control, Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no, Advances in linear matrix inequality methods in control
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  • Advances in linear matrix inequality methods in control
  • Written by author Laurent El Ghaoui, Silviu-Iulian Niculescu
  • Published by Philadelphia, Pa. : Society for Industrial and Applied Mathematics, c2000., 1987/01/01
  • Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no
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Preface; Notation; Part I. Introduction. Robust Decision Problems in Engineering: A linear matrix inequality approach L. El Ghaoui and S.-I. Niculescu; Part II. Algorithms and Software: Mixed Semidefinite-Quadratic-Linear Programs J.-P. A. Haeberly, M. V. Nayakkankuppam and M. L. Overton; Nonsmooth algorithms to solve semidefinite programs C. Lemaréchal and F. Oustry; sdpsol: A Parser/Solver for Semidefinite Programs with Matrix Structure S.-P. Wu and S. Boyd; Part III. Analysis: Parametric Lyapunov Functions for Uncertain Systems: The Multiplier Approach M. Fu and S. Dasgupta; Optimization of Integral Quadratic Constraints U. Jönsson and A. Rantzer; Linear Matrix Inequality Methods for Robust H2 Analysis: A Survey with Comparisons F. Paganini and E. Feron; Part IV. Synthesis. Robust H2 Control K. Y. Yang, S. R. Hall and E. Feron; Linear Matrix Inequality Approach to the Design of Robust H2 Filters C. E. de Souza and A. Trofino; Robust Mixed Control and Linear Parameter-Varying Control with Full Block Scalings C. W. Scherer; Advanced Gain-Scheduling Techniques for Uncertain Systems P. Apkarian and R. J. Adams; Control Synthesis for Well-Posedness of Feedback Systems T. Iwasaki; Part V. Nonconvex Problems. Alternating Projection Algorithms for Linear Matrix Inequalities Problems with Rank Constraints K. M. Grigoriadis and E. B. Beran; Bilinearity and Complementarity in Robust Control M. Mesbahi, M. G. Safonov and G. P. Papavassilopoulos; Part VI. Applications:Linear Controller Design for the NEC Laser Bonder via Linear Matrix Inequality Optimization J. Oishi and V. Balakrishnan; Multiobjective Robust Control Toolbox for LMI-Based Control S. Dussy; Multiobjective Control for Robot Telemanipulators J. P. Folcher and C. Andriot; Bibliography; Index.


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Advances in linear matrix inequality methods in control, Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no, Advances in linear matrix inequality methods in control

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Advances in linear matrix inequality methods in control, Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no, Advances in linear matrix inequality methods in control

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Advances in linear matrix inequality methods in control, Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, no, Advances in linear matrix inequality methods in control

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