Robust Nonlinear Control Of Industrial Evaporation Systems: Implementation Of Differential Geometric Techniques
Book Details
Format
Hardback or Cased Book
ISBN-10
981023614X
ISBN-13
9789810236144
Publisher
World Scientific Publishing Co Pte Ltd
Imprint
World Scientific Publishing Co Pte Ltd
Country of Manufacture
SG
Country of Publication
GB
Publication Date
Feb 2nd, 1999
Print length
340 Pages
Weight
622 grams
Dimensions
23.10 x 16.50 x 2.60 cms
Product Classification:
Differential & Riemannian geometryNonlinear scienceMaths for engineersIndustrial chemistry
Ksh 16,750.00
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In this text, multivariable nonlinear control techniques based on differential geometry are considered. It provides a systematic approach to geometric nonlinear control theory. A case study of an industrial evaporator is used as an example throughout the entire book.
Nonlinearities exist in all process control systems. The use of linear control techniques is valid only in a narrow region of operation. Nonlinear control is central to future industrial development. In this book, multivariable nonlinear control techniques based on differential geometry are considered in a pragmatic manner. The book provides a simplified and systematic approach to geometric nonlinear control theory. A case study of an industrial evaporator is used as an example throughout the entire book. Various other examples are also used throughout the text to illustrate the theory. The book successfully demonstrates the superiority and simplicity of the class of controllers studied through simulations and actual plant implementations. The simulations were done using the symbolic computation package MAPLE. Discussions are given on the application of symbolic computation in process engineering.This book is aimed at industrial practitioners and postgraduates in engineering, and will be particularly valuable to practicing engineers who find the theory books on control somewhat heavy going. The insights provided in the book will encourage more industrial implementations of nonlinear controllers, and thereby help to bridge the widening gap between control theory and industrial practice.
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