Symbolic Methods in Control System Analysis and Design
edited by Neil Munro
The Institution of Engineering and Technology, 1999 Cloth: 978-0-85296-943-4 | eISBN: 978-1-84919-352-8 Library of Congress Classification TJ213.S87 1999 Dewey Decimal Classification 629.8
ABOUT THIS BOOK | REVIEWS | TOC
ABOUT THIS BOOK Symbolic computing has made a significant impact in the field of control engineering. This book, which brings together contributions from leading international experts in the field, provides an up-to-date treatment of various issues in system modelling, analysis, design and synthesis methods.
REVIEWS
'This book is suitable for postgraduate students and researchers in control systems and would be particularly useful to those applying or intending to apply symbolic computation in the control area. The book covers wide range of topics and is a good source of information and references on this important and interesting topic.'
-- IEEE Control Systems
'The topic of symbolic computing has been in great need of a book to provide an up-to-date treatment of the significant impact made by it in the field of control engineering. This volume fills this need in an able and instructive manner. It is good to see the valuable expertise of the contributors reflected in its pages.'
-- Current Engineering Practice
TABLE OF CONTENTS
Part I: System Modelling
Chapter 1: Symbolic modelling and analysis of nonlinear systems
Chapter 2: Symbolic computation for manipulation of hierarchical bond graphs
Chapter 3: A survey of customised computer algebra programs for multibody dynamic modelling
Part II: System Analysis
Chapter 4: Robust control under parametric uncertainty. Part I: analysis
Chapter 5: Using differential and real algebra in control
Chapter 6: Approximate algebraic computations of algebraic invariants
Chapter 7: Robust stability conditions for MIMO systems with parametric uncertainty
Part III: Design and Synthesis Methods
Chapter 8: Robust control under parametric uncertainty. Part II: design
Chapter 9: Dynamic sliding mode control design using symbolic algebra tools
Chapter 10: Pole assignment for uncertain systems
Chapter 11: Algebraic, algebrogeometric methods and symbolic computations in linear control problems
Part IV: Nonlinear Systems
Chapter 12: Symbolic aids for modelling, analysis and synthesis of nonlinear control systems
Chapter 13: Symbolic methods for global optimisation
Chapter 14: Solving strict polynomial inequalities by Bernstein expansion
Chapter 15: Computational methods for control of dynamical systems
Symbolic Methods in Control System Analysis and Design
edited by Neil Munro
The Institution of Engineering and Technology, 1999 Cloth: 978-0-85296-943-4 eISBN: 978-1-84919-352-8
Symbolic computing has made a significant impact in the field of control engineering. This book, which brings together contributions from leading international experts in the field, provides an up-to-date treatment of various issues in system modelling, analysis, design and synthesis methods.
REVIEWS
'This book is suitable for postgraduate students and researchers in control systems and would be particularly useful to those applying or intending to apply symbolic computation in the control area. The book covers wide range of topics and is a good source of information and references on this important and interesting topic.'
-- IEEE Control Systems
'The topic of symbolic computing has been in great need of a book to provide an up-to-date treatment of the significant impact made by it in the field of control engineering. This volume fills this need in an able and instructive manner. It is good to see the valuable expertise of the contributors reflected in its pages.'
-- Current Engineering Practice
TABLE OF CONTENTS
Part I: System Modelling
Chapter 1: Symbolic modelling and analysis of nonlinear systems
Chapter 2: Symbolic computation for manipulation of hierarchical bond graphs
Chapter 3: A survey of customised computer algebra programs for multibody dynamic modelling
Part II: System Analysis
Chapter 4: Robust control under parametric uncertainty. Part I: analysis
Chapter 5: Using differential and real algebra in control
Chapter 6: Approximate algebraic computations of algebraic invariants
Chapter 7: Robust stability conditions for MIMO systems with parametric uncertainty
Part III: Design and Synthesis Methods
Chapter 8: Robust control under parametric uncertainty. Part II: design
Chapter 9: Dynamic sliding mode control design using symbolic algebra tools
Chapter 10: Pole assignment for uncertain systems
Chapter 11: Algebraic, algebrogeometric methods and symbolic computations in linear control problems
Part IV: Nonlinear Systems
Chapter 12: Symbolic aids for modelling, analysis and synthesis of nonlinear control systems
Chapter 13: Symbolic methods for global optimisation
Chapter 14: Solving strict polynomial inequalities by Bernstein expansion
Chapter 15: Computational methods for control of dynamical systems