System Identification, Environmental Modelling, and Control System Design

1. Front Matter

   Pages I-XXVII

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2. Theory of System Identification

   1. Front Matter

      Pages 1-1

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   2. How Accurate Can Instrumental Variable Models Become?

      • Torsten Söderström

      Pages 3-25

   3. Refined Instrumental Variable Methods for Hammerstein Box-Jenkins Models

      • Vincent Laurain, Marion Gilson, Hugues Garnier

      Pages 27-47

   4. Identifiability, and Beyond

      • Eric Walter

      Pages 49-68

   5. Model Structure Identification and the Growth of Knowledge

      • M. B. Beck, Z. Lin, J. D. Stigter

      Pages 69-96

   6. Application of Minimum Distortion Filtering to Identification of Linear Systems Having Non-uniform Sampling Period

      • Graham C. Goodwin, Mauricio G. Cea

      Pages 97-114

   7. Averaging Analysis of Adaptive Algorithms Made Simple

      • Victor Solo

      Pages 115-131

   8. Graphs for Dependence and Causality in Multivariate Time Series

      • Christoph Flamm, Ulrike Kalliauer, Manfred Deistler, Markus Waser, Andreas Graef

      Pages 133-151

   9. Box-Jenkins Seasonal Models

      • Granville Tunnicliffe Wilson, Peter Armitage

      Pages 153-170

   10. State Dependent Regressions: From Sensitivity Analysis to Meta-modeling

       • Marco Ratto, Andrea Pagano

       Pages 171-190

   11. Multi-state Dependent Parameter Model Identification and Estimation

       • Włodek Tych, Jafar Sadeghi, Paul J. Smith, Arun Chotai, C. James Taylor

       Pages 191-210

   12. On Application of State Dependent Parameter Models in Electrical Demand Forecast

       • Nguyen-Vu Truong, Liuping Wang

       Pages 211-227

   13. Automatic Selection for Non-linear Models

       • Jennifer L. Castle, David F. Hendry

       Pages 229-250

   14. Construction of Radial Basis Function Networks with Diversified Topologies

       • X. Hong, S. Chen, C. J. Harris

       Pages 251-270

3. Applications of System Identification

   1. Front Matter

      Pages 271-271

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   2. Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals

      • Ivan Markovsky, Anton Amann, Sabine Van Huffel

      Pages 273-291

   3. Progress and Open Questions in the Identification of Electrically Stimulated Human Muscle for Stroke Rehabilitation

      • Fengmin Le, Chris T. Freeman, Ivan Markovsky, Eric Rogers

      Pages 293-318

4. Data-Based Mechanistic Modelling and Environmental Systems

   1. Front Matter

      Pages 319-319

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5. Data-based Mechanistic Modelling and Environmental System

   1. Data-Based Mechanistic Modelling: Natural Philosophy Revisited?

      • Peter C. Young

      Pages 321-340

This book is dedicated to Prof. Peter Young on his 70th birthday. Professor Young has been a pioneer in systems and control, and over the past 45 years he has influenced many developments in this field. This volume comprises a collection of contributions by leading experts in system identification, time-series analysis, environmetric modelling and control system design – modern research in topics that reflect important areas of interest in Professor Young’s research career. Recent theoretical developments in and relevant applications of these areas are explored treating the various subjects broadly and in depth. The authoritative and up-to-date research presented here will be of interest to academic researcher in control and disciplines related to environmental research, particularly those to with water systems. The tutorial style in which many of the contributions are composed also makes the book suitable as a source of study material for graduate students in those areas.

• Control
• Control system design
• Environmetric Modelling
• System identification
• Time-series analysis

• Computer Engineering, RMIT University, Melbourne, Australia

  Liuping Wang

• Centre de Recherche en, Automatique de Nancy, Université Nancy I, Vandoeuvre-les-Nancy CX, France

  Hugues Garnier

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