Overview

This monograph is concerned with the prediction and control of processes expressed by discrete-time models. It is assumed that the characteristics of the process may vary over time. The processes concerned may be linear or nonlinear, periodic or nonperiodic, single input/single output or simply output-only time series. The primary aim of the work is to provide comprehensive coverage of the principles, perspectives and methods of adaptive prediction. There is also an introduction to the popular methods of predictive control. The numerical and computational aspects of prediction and control methods often influence their success in operation, and for this reason the text gives them due consideration whenever possible.

Full Product Details

Author:   Partha Pratim Kanjilal (Associate Professor, Indian Institute of Technology, Kharagpur, India)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Volume:   No. 52
ISBN:  

9780863411939

ISBN 10:   0863411932
Pages:   536
Publication Date:   30 June 1995
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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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

Reviews

An important contribution to the literature on the subject.

Author Information

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.

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