Improvements to Stochastic Multiple Model Adaptive Control [microform]: Hypothesis Test Switching and a Modified Model Arrangement
Title | Improvements to Stochastic Multiple Model Adaptive Control [microform]: Hypothesis Test Switching and a Modified Model Arrangement PDF eBook |
Author | Alexander Scott Campbell |
Publisher | Library and Archives Canada = Bibliothèque et Archives Canada |
Pages | 396 |
Release | 2005 |
Genre | Adaptive control systems |
ISBN | 9780494083680 |
Generalized Minimum Variance Adaptive Control and Parameter Convergence for Stochastic Systems [microform]
Title | Generalized Minimum Variance Adaptive Control and Parameter Convergence for Stochastic Systems [microform] PDF eBook |
Author | Douglas G. Down |
Publisher | National Library of Canada = Bibliothèque nationale du Canada |
Pages | 116 |
Release | 1990 |
Genre | Stochastic control theory |
ISBN | 9780315584358 |
Model-Reference Adaptive Control
Title | Model-Reference Adaptive Control PDF eBook |
Author | Nhan T. Nguyen |
Publisher | Springer |
Pages | 453 |
Release | 2018-03-01 |
Genre | Technology & Engineering |
ISBN | 3319563939 |
This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.
Multiple Model Adaptive Strategy for Model Predictive Control
Title | Multiple Model Adaptive Strategy for Model Predictive Control PDF eBook |
Author | Danielle Lee Dougherty |
Publisher | |
Pages | 0 |
Release | 2002 |
Genre | |
ISBN |
Final Report on Robust Stochastic Adaptive Control
Title | Final Report on Robust Stochastic Adaptive Control PDF eBook |
Author | Lena Valavani |
Publisher | |
Pages | 28 |
Release | 1988 |
Genre | |
ISBN |
Special Issue: Multiple Models in Adaptive Systems
Title | Special Issue: Multiple Models in Adaptive Systems PDF eBook |
Author | Miroslav Karný |
Publisher | |
Pages | 110 |
Release | 2003 |
Genre | |
ISBN |
Vehicle Propulsion Systems
Title | Vehicle Propulsion Systems PDF eBook |
Author | Lino Guzzella |
Publisher | Springer Science & Business Media |
Pages | 345 |
Release | 2007-09-21 |
Genre | Technology & Engineering |
ISBN | 3540746927 |
The authors of this text have written a comprehensive introduction to the modeling and optimization problems encountered when designing new propulsion systems for passenger cars. It is intended for persons interested in the analysis and optimization of vehicle propulsion systems. Its focus is on the control-oriented mathematical description of the physical processes and on the model-based optimization of the system structure and of the supervisory control algorithms.