Symbolic Methods in Control System Analysis and Design

Inbunden, Engelska, 1998

Del i serien Control, Robotics and Sensors

2 086 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

Beskrivning

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.Coverage includes: the application of multidimensional Laplace transforms to the modelling of nonlinear elementsa survey of customised computer algebra modelling programs for multibody dynamical systemscentral results for the analysis and robust control of single-input single-output linear systems using a new linear programming approachdifferential and real algebra for dealing with systems of polynomial equations and inequalities for nonlinear systems, and the computational aspects of algebraic and geometric invariants for both certain and uncertain systemsthe dynamic sliding mode approach to the robust control of both linear and nonlinear systems, and robust pole assignment for parametric uncertain linear systemsthe development and testing of a new branch-and-bound algorithm for global optimisation, using symbolic algebra techniquesan overview and assessment of the use of symbolic computation programs in the analysis and design of control systems.The book will be of interest to postgraduate students and researchers in control engineering.

Produktinformation

Utgivningsdatum:1998-11-23
Mått:156 x 234 x 26 mm
Vikt:783 g
Format:Inbunden
Språk:Engelska
Serie:Control, Robotics and Sensors
Antal sidor:412
Förlag:Institution of Engineering and Technology
ISBN:9780852969434

Utforska kategorier

Mer om författaren

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.

Recensioner i media

'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.'

Innehållsförteckning

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