Adaptive Prediction and Predictive Control: (Control, Robotics and Sensors)

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.

Table of Contents:
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

About the Author :
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.

Review :
'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.'