In this paper the Synchronization of systems with fuzzy initial conditions is introduced, as a convenient framework to obtain a shared estimation of the state of a system based on partial and distributed observations, in the case where such a state is affected by ambiguity and/or vagueness. After discussing the synchronization of crisp systems, providing a criteria to find a stabilizing control law, the Discrete-Time Fuzzy Systems (DFS) are introduced as an extension of scalar fuzzy difference equations. Besides providing a stability condition for a general DFS, in the linear case it is proven that, under a non-negativity assumption for the coefficients of the system, the fuzzyfication of the initial conditions does not compromise the stability of the crisp system. A framework for the synchronization of arrays of linear DFS is then introduced, proving that the crisp synchronization is a particular case of the proposed approach. Finally, a case study in the field of Critical Infrastructure Protection is provided.

Oliva, G., Panzieri, S., Setola, R. (2012). Distributed Synchronization Under Uncertainty: a Fuzzy Approach. FUZZY SETS AND SYSTEMS, 206, 103-120 [10.1016/j.fss.2012.02.003].

Distributed Synchronization Under Uncertainty: a Fuzzy Approach

PANZIERI, Stefano;
2012-01-01

Abstract

In this paper the Synchronization of systems with fuzzy initial conditions is introduced, as a convenient framework to obtain a shared estimation of the state of a system based on partial and distributed observations, in the case where such a state is affected by ambiguity and/or vagueness. After discussing the synchronization of crisp systems, providing a criteria to find a stabilizing control law, the Discrete-Time Fuzzy Systems (DFS) are introduced as an extension of scalar fuzzy difference equations. Besides providing a stability condition for a general DFS, in the linear case it is proven that, under a non-negativity assumption for the coefficients of the system, the fuzzyfication of the initial conditions does not compromise the stability of the crisp system. A framework for the synchronization of arrays of linear DFS is then introduced, proving that the crisp synchronization is a particular case of the proposed approach. Finally, a case study in the field of Critical Infrastructure Protection is provided.
2012
Oliva, G., Panzieri, S., Setola, R. (2012). Distributed Synchronization Under Uncertainty: a Fuzzy Approach. FUZZY SETS AND SYSTEMS, 206, 103-120 [10.1016/j.fss.2012.02.003].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/143072
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