Adaptive Prediction and Predictive Control

Inbunden, Engelska, 1995

Del i serien Control, Robotics and Sensors

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Beskrivning

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.

Produktinformation

Utgivningsdatum:1995-06-30
Mått:156 x 234 x 33 mm
Vikt:971 g
Format:Inbunden
Språk:Engelska
Serie:Control, Robotics and Sensors
Antal sidor:536
Förlag:Institution of Engineering and Technology
ISBN:9780863411939

Utforska kategorier

Mer om författaren

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.

Recensioner i media

'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.'

Innehållsförteckning

Chapter 1: IntroductionChapter 2: Process modelsChapter 3: Parameter estimationChapter 4: Some popular methods of predictionChapter 5: Adaptive prediction using transfer-function modelsChapter 6: Kalman filter and state-space approachesChapter 7: Orthogonal transformation and modelling of periodic seriesChapter 8: Modellong of nonlinear processes: an introductionChapter 9: Modelling of nonlinear processes using GMDHChapter 10: Modelling and prediction of nonlinear processes using neural networksChapter 11: Modelling and prediction of quasiperiodic seriesChapter 12: Predictive control (Part-I): input-output model basedChapter 13: Predictive control (Part-II): state-space model basedChapter 14: Smoothing and filteringAppendices