Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems
Much work on analysis and synthesis problems relating to the multiple model approach has already been undertaken. This has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. In recent years, a general approach based on multip...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Somerset
John Wiley & Sons, Incorporated
2012
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| Ausgabe: | 1st ed |
| Schlagworte: | |
| Zusammenfassung: | Much work on analysis and synthesis problems relating to the multiple model approach has already been undertaken. This has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. In recent years, a general approach based on multiple LTI models (linear or affine) around various function points has been proposed. This so-called multiple model approach is a convex polytopic representation, which can be obtained either directly from a nonlinear mathematical model, through mathematical transformation or through linearization around various function points. This book concentrates on the analysis of the stability and synthesis of control laws and observations for multiple models. The authors' approach is essentially based on Lyapunov's second method and LMI formulation. Uncertain multiple models with unknown inputs are studied and quadratic and non-quadratic Lyapunov functions are also considered |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (136 pages) |
| ISBN: | 9781118577226 9781848214125 |
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| 520 | |a Much work on analysis and synthesis problems relating to the multiple model approach has already been undertaken. This has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. In recent years, a general approach based on multiple LTI models (linear or affine) around various function points has been proposed. This so-called multiple model approach is a convex polytopic representation, which can be obtained either directly from a nonlinear mathematical model, through mathematical transformation or through linearization around various function points. This book concentrates on the analysis of the stability and synthesis of control laws and observations for multiple models. The authors' approach is essentially based on Lyapunov's second method and LMI formulation. Uncertain multiple models with unknown inputs are studied and quadratic and non-quadratic Lyapunov functions are also considered | ||
| 650 | 4 | |a Embedded computer systems -- Testing | |
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| dewey-full | 003.75 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
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| dewey-search | 003.75 |
| dewey-sort | 13.75 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:42:10Z |
| institution | BVB |
| isbn | 9781118577226 9781848214125 |
| language | English |
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| spelling | Chadli, M. Verfasser aut Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems 1st ed Somerset John Wiley & Sons, Incorporated 2012 © 2013 1 online resource (136 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Much work on analysis and synthesis problems relating to the multiple model approach has already been undertaken. This has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. In recent years, a general approach based on multiple LTI models (linear or affine) around various function points has been proposed. This so-called multiple model approach is a convex polytopic representation, which can be obtained either directly from a nonlinear mathematical model, through mathematical transformation or through linearization around various function points. This book concentrates on the analysis of the stability and synthesis of control laws and observations for multiple models. The authors' approach is essentially based on Lyapunov's second method and LMI formulation. Uncertain multiple models with unknown inputs are studied and quadratic and non-quadratic Lyapunov functions are also considered Embedded computer systems -- Testing Embedded computer systems Borne, Pierre Sonstige oth Erscheint auch als Druck-Ausgabe Chadli, M . Multiple Models Approach in Automation : Takagi-Sugeno Fuzzy Systems |
| spellingShingle | Chadli, M. Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems Embedded computer systems -- Testing Embedded computer systems |
| title | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_auth | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_exact_search | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_full | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_fullStr | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_full_unstemmed | Multiple Models Approach in Automation Takagi-Sugeno Fuzzy Systems |
| title_short | Multiple Models Approach in Automation |
| title_sort | multiple models approach in automation takagi sugeno fuzzy systems |
| title_sub | Takagi-Sugeno Fuzzy Systems |
| topic | Embedded computer systems -- Testing Embedded computer systems |
| topic_facet | Embedded computer systems -- Testing Embedded computer systems |
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