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 ModellingChapter 1: Symbolic modelling and analysis of nonlinear systemsChapter 2: Symbolic computation for manipulation of hierarchical bond graphsChapter 3: A survey of customised computer algebra programs for multibody dynamic modellingPart II: System AnalysisChapter 4: Robust control under parametric uncertainty. Part I: analysisChapter 5: Using differential and real algebra in controlChapter 6: Approximate algebraic computations of algebraic invariantsChapter 7: Robust stability conditions for MIMO systems with parametric uncertaintyPart III: Design and Synthesis MethodsChapter 8: Robust control under parametric uncertainty. Part II: designChapter 9: Dynamic sliding mode control design using symbolic algebra toolsChapter 10: Pole assignment for uncertain systemsChapter 11: Algebraic, algebrogeometric methods and symbolic computations in linear control problemsPart IV: Nonlinear SystemsChapter 12: Symbolic aids for modelling, analysis and synthesis of nonlinear control systemsChapter 13: Symbolic methods for global optimisationChapter 14: Solving strict polynomial inequalities by Bernstein expansionChapter 15: Computational methods for control of dynamical systems

'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.'

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 ModellingChapter 1: Symbolic modelling and analysis of nonlinear systemsChapter 2: Symbolic computation for manipulation of hierarchical bond graphsChapter 3: A survey of customised computer algebra programs for multibody dynamic modellingPart II: System AnalysisChapter 4: Robust control under parametric uncertainty. Part I: analysisChapter 5: Using differential and real algebra in controlChapter 6: Approximate algebraic computations of algebraic invariantsChapter 7: Robust stability conditions for MIMO systems with parametric uncertaintyPart III: Design and Synthesis MethodsChapter 8: Robust control under parametric uncertainty. Part II: designChapter 9: Dynamic sliding mode control design using symbolic algebra toolsChapter 10: Pole assignment for uncertain systemsChapter 11: Algebraic, algebrogeometric methods and symbolic computations in linear control problemsPart IV: Nonlinear SystemsChapter 12: Symbolic aids for modelling, analysis and synthesis of nonlinear control systemsChapter 13: Symbolic methods for global optimisationChapter 14: Solving strict polynomial inequalities by Bernstein expansionChapter 15: Computational methods for control of dynamical systems

'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.'

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 ModellingChapter 1: Symbolic modelling and analysis of nonlinear systemsChapter 2: Symbolic computation for manipulation of hierarchical bond graphsChapter 3: A survey of customised computer algebra programs for multibody dynamic modellingPart II: System AnalysisChapter 4: Robust control under parametric uncertainty. Part I: analysisChapter 5: Using differential and real algebra in controlChapter 6: Approximate algebraic computations of algebraic invariantsChapter 7: Robust stability conditions for MIMO systems with parametric uncertaintyPart III: Design and Synthesis MethodsChapter 8: Robust control under parametric uncertainty. Part II: designChapter 9: Dynamic sliding mode control design using symbolic algebra toolsChapter 10: Pole assignment for uncertain systemsChapter 11: Algebraic, algebrogeometric methods and symbolic computations in linear control problemsPart IV: Nonlinear SystemsChapter 12: Symbolic aids for modelling, analysis and synthesis of nonlinear control systemsChapter 13: Symbolic methods for global optimisationChapter 14: Solving strict polynomial inequalities by Bernstein expansionChapter 15: Computational methods for control of dynamical systems

'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.'