Ebook: Identification of Continuous-Time Systems: Methodology and Computer Implementation
- Tags: Electrical Engineering, Systems Theory Control, Analysis
- Series: International Series on Microprocessor-Based Systems Engineering 7
- Year: 1991
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
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.
Content:
Front Matter....Pages i-xv
Continuous-time models and approaches....Pages 1-15
Discrete-time modeling and identification of continuous-time systems: a general framework....Pages 17-77
The Relationship Between Discrete Time and Continuous Time Linear Estimation....Pages 79-122
Transformation of discrete-time models....Pages 123-137
Methods using Walsh functions....Pages 139-157
Use of the block pulse operator....Pages 159-203
Recursive block pulse function method....Pages 205-225
Continuous model identification via orthogonal polynomials....Pages 227-258
Use of numerical integration methods....Pages 259-289
Application of digital filtering techniques....Pages 291-325
The Poisson moment functional technique — Some new results....Pages 327-361
Identification, Estimation and Control of Continuous-Time Systems Described by Delta Operator Models....Pages 363-418
Identification of multivariable continuous-time systems....Pages 419-442
Use of Pseudo-Observability Indices In Identification of Continuous-Time Multivariable Models....Pages 443-471
SVD-based subspace methods for multivariable continuous-time systems identification....Pages 473-488
Identification of continuous-time systems using multiharmonic test signals....Pages 489-508
Adaptive Model Approaches....Pages 509-548
Nonparametric approaches to identification....Pages 549-574
From fine asymptotics to model selection....Pages 575-587
Real-time issues in continuous system identification....Pages 589-637
Back Matter....Pages 639-639
Content:
Front Matter....Pages i-xv
Continuous-time models and approaches....Pages 1-15
Discrete-time modeling and identification of continuous-time systems: a general framework....Pages 17-77
The Relationship Between Discrete Time and Continuous Time Linear Estimation....Pages 79-122
Transformation of discrete-time models....Pages 123-137
Methods using Walsh functions....Pages 139-157
Use of the block pulse operator....Pages 159-203
Recursive block pulse function method....Pages 205-225
Continuous model identification via orthogonal polynomials....Pages 227-258
Use of numerical integration methods....Pages 259-289
Application of digital filtering techniques....Pages 291-325
The Poisson moment functional technique — Some new results....Pages 327-361
Identification, Estimation and Control of Continuous-Time Systems Described by Delta Operator Models....Pages 363-418
Identification of multivariable continuous-time systems....Pages 419-442
Use of Pseudo-Observability Indices In Identification of Continuous-Time Multivariable Models....Pages 443-471
SVD-based subspace methods for multivariable continuous-time systems identification....Pages 473-488
Identification of continuous-time systems using multiharmonic test signals....Pages 489-508
Adaptive Model Approaches....Pages 509-548
Nonparametric approaches to identification....Pages 549-574
From fine asymptotics to model selection....Pages 575-587
Real-time issues in continuous system identification....Pages 589-637
Back Matter....Pages 639-639
....