Title Practical control engineering : guide for engineers, managers, and practitioners / David M. Koenig

Published New York : McGraw-Hill, [2009] ©2009

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Description 1 online resource (xxi, 474 pages) : illustrations Series McGraw-Hill's AccessEngineering McGraw-Hill's AccessEngineering. Contents Qualitative concepts in control engineering and process analysis -- Introduction to developing control algorithms -- Basic concepts in process analysis -- A new domain and more process models -- Matrices and higher-order process models -- An underdamped process -- Distributed processes -- Stochastic process disturbances and the discrete time domain -- The discrete time domain and the Z-transform -- Estimating the state and using it for control -- A review of control algorithms Summary "Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics."--Jacket Bibliography Includes bibliographical references and index Subject Automatic control -- Computer network resources Control theory -- Computer network resources Automatic control. Control theory. Automatic control Control theory Genre/Form Internet resources Form Electronic book LC no. 2008037488 ISBN 9780071638883 0071638881 9780071606141 0071606149 9781281969309 1281969303

Other Titles Introduction to developing control algorithms Basic concepts in process analysis New domain and more process models Matrices and higher-order process models Underdamped process Distributed processes Stochastic process disturbances and the discrete time domain Discrete time domain and the Z-transform Qualitative concepts in control engineering and process analysis Estimating the state and using it for control Review of control algorithms Appendices Introduction to developing control algorithms Basic concepts in process analysis New domain and more process models Matrices and higher-order process models Underdamped process Distributed processes Stochastic process disturbances and the discrete time domain Discrete time domain and the Z-transform Estimating the state and using it for control Qualitative concepts in control engineering and process analysis Review of control algorithms Appendices Introduction to developing control algorithms Basic concepts in process analysis New domain and more process models Matrices and higher-order process models Underdamped process Distributed processes Stochastic process disturbances and the discrete time domain Discrete time domain and the Z-transform Estimating the state and using it for control Review of control algorithms Qualitative concepts in control engineering and process analysis Appendices Appendices Basic concepts in process analysis Discrete time domain and the Z-transform Distributed processes Estimating the state and using it for control Introduction to developing control algorithms Matrices and higher-order process models New domain and more process models Qualitative concepts in control engineering and process analysis Review of control algorithms Stochastic process disturbances and the discrete time domain Underdamped process

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