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Symbolic Methods in Control System Analysis and Design
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'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 * '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 *
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Neil Munro (1936-2004) received his B.Sc. in electrical engineering from Strathclyde University in 1962, his Ph.D. from UMIST in 1969, and a D.Sc. in control engineering from the University of Manchester in 1983. He was appointed professor of applied control engineering at UMIST in 1979 and was head of the Control Systems Centre for over 30 years. He was chairman of SERC's Control and Instrumentation Subcommittee (1983-1985), Director of Control and Instrumentation for the SERC and DTI Joint Framework for Information Technology (1991-1992), and the National Consultant on Control and Instrumentation for EPSRC (1994-1997). Professor Munro was a Fellow of the IEE, IEEE and Institute of Measurement and Control, and a recipient of the Sir Harold Hartley Medal (1982) and the Honeywell International Medal (1997) for contributions to control engineering.
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