Identification of Continuous-Time Systems

1. Front Matter

   Pages i-xv

   PDF

2. Continuous-time models and approaches

   • Ganti Prasada Rao, Naresh K. Sinha

   Pages 1-15

3. Discrete-time modeling and identification of continuous-time systems: a general framework

   • H. Van hamme, R. Pintelon, J. Schoukens

   Pages 17-77

4. The Relationship Between Discrete Time and Continuous Time Linear Estimation

   • Brett M. Ninness, Graham C. Goodwin

   Pages 79-122

5. Transformation of discrete-time models

   • N. K. Sinha, G. J. Lastman

   Pages 123-137

6. Methods using Walsh functions

   • E. V. Bohn

   Pages 139-157

7. Use of the block pulse operator

   • Shien-Yu Wang

   Pages 159-203

8. Recursive block pulse function method

   • Z. H. Jiang, W. Schaufelberger

   Pages 205-225

9. Continuous model identification via orthogonal polynomials

   • K. B. Datta

   Pages 227-258

10. Use of numerical integration methods

    • H. Dai, N. K. Sinha

    Pages 259-289

11. Application of digital filtering techniques

    • S. Sagara, Z. Y. Zhao

    Pages 291-325

12. The Poisson moment functional technique — Some new results

    • D. C. Saha, V. N. Bapat, B. K. Roy

    Pages 327-361

13. Identification, Estimation and Control of Continuous-Time Systems Described by Delta Operator Models

    • Peter C. Young, Arun Chotai, Wlodek Tych

    Pages 363-418

14. Identification of multivariable continuous-time systems

    • E Boje

    Pages 419-442

15. Use of Pseudo-Observability Indices In Identification of Continuous-Time Multivariable Models

    • S. Bingulac, D. L. Cooper

    Pages 443-471

16. SVD-based subspace methods for multivariable continuous-time systems identification

    • Marc Moonen, Bart De Moor, Joos Vandewalle

    Pages 473-488

17. Identification of continuous-time systems using multiharmonic test signals

    • A. van den Bos

    Pages 489-508

18. Adaptive Model Approaches

    • H. Unbehauen

    Pages 509-548

19. Nonparametric approaches to identification

    • D. Matko

    Pages 549-574

20. From fine asymptotics to model selection

    • L. Gerencsér, Zs. Vágó

    Pages 575-587

In view of the importance of system identification, the International Federation of Automatic Control (IFAC) and the International Federation of Operational Research Societies (IFORS) hold symposia on this topic every three years. Interest in continuous time approaches to system identification has been growing in recent years. This is evident from the fact that the of invited sessions on continuous time systems has increased from one in the 8th number Symposium that was held in Beijing in 1988 to three in the 9th Symposium in Budapest in 1991. It was during the 8th Symposium in August 1988 that the idea of bringing together important results on the topic of Identification of continuous time systems was conceived. Several distinguished colleagues, who were with us in Beijing at that time, encouraged us by promising on the spot to contribute to a comprehensive volume of collective work. Subsequently, we contacted colleagues all over the world, known for their work in this area, with a formal request to contribute to the proposed volume. The response was prompt and overwhelmingly encouraging. We sincerely thank all the authors for their valuable contributions covering various aspects of identification of continuous time systems.

• Signal
• computer
• differential equation
• model
• modeling
• orthogonal polynomials
• system
• system identification

`However, as a broad survey of mathematical techniques for system identification in the continuous-time domain, this book can be recommended.'
Journal of System and Control Engineering

• McMaster University, Hamilton, Canada

  N. K. Sinha

• Indian Institute of Technology, Kharagpur, India

  G. P. Rao

Policies and ethics