Model Reduction for Control System Design
Title | Model Reduction for Control System Design PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1985 |
Genre | |
ISBN |
Model Reduction for Control System Design
Title | Model Reduction for Control System Design PDF eBook |
Author | Goro Obinata |
Publisher | Springer Science & Business Media |
Pages | 177 |
Release | 2012-12-06 |
Genre | Technology & Engineering |
ISBN | 1447102835 |
Comprehensive treatment of approximation methods for filters and controllers. It is fully up to date, and it is authored by two leading researchers who have personally contributed to the development of some of the methods. Balanced truncation, Hankel norm reduction, multiplicative reduction, weighted methods and coprime factorization methods are all discussed. The book is amply illustrated with examples, and will equip practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction.
Control Systems Design 2003 (CSD '03)
Title | Control Systems Design 2003 (CSD '03) PDF eBook |
Author | Stefan Kozak |
Publisher | Elsevier |
Pages | 576 |
Release | 2004-04 |
Genre | Science |
ISBN | 9780080441757 |
The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design.
Model Reduction for Control System Design
Title | Model Reduction for Control System Design PDF eBook |
Author | Dale Enns |
Publisher | |
Pages | 310 |
Release | 1984 |
Genre | Automatic control |
ISBN |
Testing of Model Reduction Methods in Control Systems Design
Title | Testing of Model Reduction Methods in Control Systems Design PDF eBook |
Author | Harsha M. Desai |
Publisher | |
Pages | 120 |
Release | 1981 |
Genre | |
ISBN |
Model Reduction and Control System Design Via Taylor Series
Title | Model Reduction and Control System Design Via Taylor Series PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1987 |
Genre | |
ISBN |
Interpolatory Methods for Model Reduction
Title | Interpolatory Methods for Model Reduction PDF eBook |
Author | A. C. Antoulas |
Publisher | SIAM |
Pages | 244 |
Release | 2020-01-13 |
Genre | Mathematics |
ISBN | 1611976081 |
Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks. This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.