Control often follows predictions: predictive control has been highly successful in producing robust and practical solutions in many real-life, real-time applications. Adaptive prediction covers a variety of ways of adding 'intelligence' to predictive control techniques. Many different groups, with widely varying disciplinary backgrounds and approaches, are tackling the same problem from different angles; these groups are sometimes unaware of alternative approaches from other disciplines.
This book attempts to give a unified and comprehensive coverage of the principles and methods that these groups have developed. It avoids basing its descriptions on very complex mathematical formulations but still gives a rigorous exposure to the subject, and illustrates the theory with many practical examples. It is chiefly aimed at students, researchers and practitioners, but will also be accessible to the non-specialist.
Rezensionen / Stimmen
'The book contains useful new material that can support postgraduate courses in the fields of control and signal processing. It can serve researchers and practicing engineers as a useful reference. On the whole, the book is an important contribution to the literature on the subject.' * IEEE Transactions on Automatic Control *
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 33 mm
Gewicht
ISBN-13
978-0-86341-193-9 (9780863411939)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Partha Pratim Kanjilal is an Associate Professor at the Indian Institute of Technology, Kharagpur. He is a graduate of the IIT and of the University of Sheffield. His research interests include modelling and prediction of complex processes, linear and nonlinear time-series analysis, signal processing and predictive control. He has a particular interest in the applications of orthogonal control. Dr Kanjilal has previously worked as a research fellow at Oxford University, CSIR and Tata Steel in India. He has published over 25 refereed papers in journals and international conferences.
Autor*in
Associate ProfessorIndian Institute of Technology, Kharagpur, India
Chapter 1: Introduction
Chapter 2: Process models
Chapter 3: Parameter estimation
Chapter 4: Some popular methods of prediction
Chapter 5: Adaptive prediction using transfer-function models
Chapter 6: Kalman filter and state-space approaches
Chapter 7: Orthogonal transformation and modelling of periodic series
Chapter 8: Modellong of nonlinear processes: an introduction
Chapter 9: Modelling of nonlinear processes using GMDH
Chapter 10: Modelling and prediction of nonlinear processes using neural networks
Chapter 11: Modelling and prediction of quasiperiodic series
Chapter 12: Predictive control (Part-I): input-output model based
Chapter 13: Predictive control (Part-II): state-space model based
Chapter 14: Smoothing and filtering
Appendices