Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domain optimal statistical approaches to identification; parametric identification for linear, nonlinear and stochastic systems; identification using instrumental variable, subspace and data compression methods; closed-loop and robust identification; and continuous-time modeling from non-uniformly sampled data and for systems with delay.
The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB¬ can be used for direct time-domain identification of continuous-time systems. A valuable reference for a broad audience drawn from researchers and graduate students in signal processing as well as in systems and control this book also covers material suitable for specialised graduate courses in these areas.
| ISBN: | 9781849967402 |
| Publication date: | 21st October 2010 |
| Author: | Hugues Garnier, Liuping Wang |
| Publisher: | Springer an imprint of Springer London |
| Format: | Paperback |
| Pagination: | 413 pages |
| Series: | Advances in Industrial Control |
| Genres: |
Automatic control engineering Stochastics Engineering: Mechanics of solids Electronics engineering Probability and statistics Computer architecture and logic design Computer modelling and simulation Digital signal processing (DSP) |
Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domain optimal statistical approaches to identification; parametric identification for linear, nonlinear and stochastic systems; identification using instrumental variable, subspace and data compression methods; closed-loop and robust identification; and continuous-time modeling from non-uniformly sampled data and for systems with delay. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB¬ can be used for direct time-domain identification of continuous-time systems.
Identification of Continuous-Time Models from Sampled Data features in the following genres: Automatic control engineering, Stochastics, Engineering: Mechanics of solids, Electronics engineering, Probability and statistics, Computer architecture and logic design, Computer modelling and simulation, Digital signal processing (DSP)
Paperback. Not Available.
Identification of Continuous-Time Models from Sampled Data was written by Hugues Garnier, Liuping Wang and published by Springer an imprint of Springer London
Identification of Continuous-Time Models from Sampled Data has 413 pages
Yes it is part of Advances in Industrial Control series