Mouhacine Benosman,
Mouhacine , Cambridge, USA) Benosman
Learning-Based Adaptive Control
An Extremum Seeking Approach – Theory and Applications
Paperback Engels 2016 9780128031360Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained.
Specificaties
ISBN13:9780128031360
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:282
Uitgever:Elsevier Science
Hoofdrubriek:Wetenschap en techniek, Computer en informatica
Lezersrecensies
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Inhoudsopgave
1. Some Mathematical Tools
2. Adaptive Control: An Overview
3. Extremum Seeking-Based Iterative Feedback Gains Tuning Theory
4. Extremum Seeking-Based Indirect Adaptive Control
5. Extremum Seeking-Based Real-Time Parametric Identification for Nonlinear Systems
6. Extremum Seeking-Based Iterative Learning Model Predictive Control (ESILC-MPC)
2. Adaptive Control: An Overview
3. Extremum Seeking-Based Iterative Feedback Gains Tuning Theory
4. Extremum Seeking-Based Indirect Adaptive Control
5. Extremum Seeking-Based Real-Time Parametric Identification for Nonlinear Systems
6. Extremum Seeking-Based Iterative Learning Model Predictive Control (ESILC-MPC)
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