
Controllability properties of fuzzy dynamic systems are presented using graph representation. The indices of stability and controllability are introduced. A necessary condition for controllability is formulated. An algorithm for finding acceptable controls, based on a Lyapunov-like approach, is presented. A numerical example is given.
Controllability, Discrete-time control/observation systems, algorithm, Fuzzy sets and logic (in connection with information, communication, or circuits theory), fuzzy dynamic systems, indices of stability and controllability, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Computational methods in systems theory
Controllability, Discrete-time control/observation systems, algorithm, Fuzzy sets and logic (in connection with information, communication, or circuits theory), fuzzy dynamic systems, indices of stability and controllability, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Computational methods in systems theory
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