Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Model Reduction for Control System Design
Author: Model Reduction for Control System Design
Author: Goro ObinataPublisher: Springer Science & Business Media
ISBN: 1447102835
Category : Technology & Engineering
Languages : en
Pages : 177
Book Description
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)
Author: Stefan KozakPublisher: Elsevier
ISBN: 9780080441757
Category : Science
Languages : en
Pages : 576
Book Description
The material presented in this volume represents current ideas, knowledge, experience and research results in various fields of control system design.
Interpolatory Methods for Model Reduction
Author: A. C. AntoulasPublisher: SIAM
ISBN: 1611976081
Category : Mathematics
Languages : en
Pages : 244
Book Description
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.
Model Reduction for Control System Design
Author: Dale EnnsPublisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 310
Book Description
Testing of Model Reduction Methods in Control Systems Design
Author: Harsha M. DesaiModel Reduction and Control System Design Via Taylor Series
Author: Model Reduction of Complex Dynamical Systems
Author: Peter BennerPublisher: Springer Nature
ISBN: 3030729834
Category : Mathematics
Languages : en
Pages : 415
Book Description
This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems – MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories: system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods; data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; and model order reduction software packages and benchmarks. This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics.
Model Order Reduction Techniques with Applications in Electrical Engineering
Author: L. FortunaPublisher: Springer Science & Business Media
ISBN: 1447131983
Category : Technology & Engineering
Languages : en
Pages : 242
Book Description
Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Starting with a clear outline of the technique and their wide methodological background, central topics are introduced including mathematical tools, physical processes, numerical computing experience, software developments and knowledge of system theory. Several model reduction algorithms are then discussed. The aim of this work is to give the reader an overview of reduced-order model design and an operative guide. Particular attention is given to providing basic concepts for building expert systems for model reducution.
Model Reduction Methods for Control Design
Author: National Aeronautics and Space Administration (NASA)Publisher: Createspace Independent Publishing Platform
ISBN: 9781723213113
Category :
Languages : en
Pages : 156
Book Description
Several different model reduction methods are developed and detailed implementation information is provided for those methods. Command files to implement the model reduction methods in a proprietary control law analysis and design package are presented. A comparison and discussion of the various reduction techniques is included. Dunipace, K. R. Unspecified Center CONTROL SYSTEMS DESIGN; FLIGHT CONTROL; LINEAR EQUATIONS; MATHEMATICAL MODELS; OPTIMIZATION; AIRCRAFT MANEUVERS; AUTOMATIC PILOTS; COMMAND AND CONTROL; COMPUTER PROGRAMS; CONTROL THEORY...