The scenario approach to robust control design

This paper proposes a new probabilistic solution framework for robust control analysis and synthesis problems that can be expressed in the form of minimization of a linear objective subject to convex constraints parameterized by uncertainty terms. This includes the wide class of NP-hard control prob...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 51; H. 5; S. 742 - 753
Hauptverfasser:	Calafiore, G.C., Campi, M.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Applied sciences Computer science; control theory; systems Constraint optimization Control system synthesis Control theory. Systems Design engineering Exact sciences and technology Linear matrix inequalities Lyapunov method Measurement standards Optimization Polynomials Probabilistic methods Probabilistic robustness Probability theory randomized algorithms Robust control robust convex optimization Robustness Sampling Sampling methods Studies Uncertainty Control system analysis Probabilistic approach Control synthesis Minimization Randomized algorithm uncertainty Convex programming Probabilistic robustness Polynomial time robust convex optimization Robust control Uncertain system randomized algorithms NP hard problem Linear matrix inequality Robustness Sampling
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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