Multiple Models Approach in Automation (PDF)
Takagi-Sugeno Fuzzy Systems
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt von Mohammed Chadli, Pierre Borne
Mohammed Chadli is Associate Professor at HDR (Habilitation), University de Picardie Jules Verne, UPJV-Amiens, France.Professor Pierre Borne, Ecole Centrale de Lille, France. He is President of the IEEE-SMC society and is presently President of the IEEE France Section.
Bibliographische Angaben
- Autoren: Mohammed Chadli , Pierre Borne
- 2012, 1. Auflage, 208 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118577299
- ISBN-13: 9781118577295
- Erscheinungsdatum: 14.12.2012
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- Grösse: 2.54 MB
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Englisch
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