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Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390)

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Description:This book presents a number of techniques for robustness analysis of uncertain systems. The theoretical basis for their development is derived from the application of convex optimization tools to problems involving positivity of homogeneous polynomial forms. Usually, stability and performance analysis of dynamic systems affected by structured uncertainties, requires the solution of non-convex optimization problems. Constructing a family of convex relaxations, namely convex optimisations, can provide upper or lower bound to the original problem. In this book convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogeneous polynomial forms. A framework is introduced for dealing with positivity of homogeneous forms via the solution of linear matrix inequalities, with examples including Lyapunov analysis of uncertain systems, computation of the parametric robust stability margin, and robust performance analysis for polytopic systems.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390). To get started finding Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1848827806

Description: This book presents a number of techniques for robustness analysis of uncertain systems. The theoretical basis for their development is derived from the application of convex optimization tools to problems involving positivity of homogeneous polynomial forms. Usually, stability and performance analysis of dynamic systems affected by structured uncertainties, requires the solution of non-convex optimization problems. Constructing a family of convex relaxations, namely convex optimisations, can provide upper or lower bound to the original problem. In this book convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogeneous polynomial forms. A framework is introduced for dealing with positivity of homogeneous forms via the solution of linear matrix inequalities, with examples including Lyapunov analysis of uncertain systems, computation of the parametric robust stability margin, and robust performance analysis for polytopic systems.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390). To get started finding Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390)

Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Lecture Notes in Control and Information Sciences, 390)

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