Decentralized networked control system design using (TS) fuzzy approach
Résumé
This paper proposes a new method for control of continuous large-scale systems where the measures and control functions
are distributed on calculating members which can be shared with other applications and connected to digital network communications.
At ¯rst, the nonlinear large-scale system is described by a Takagi-Sugeno (TS) fuzzy model. After that, by using a fuzzy Lyapunov-
Krasovskii functional, su±cient conditions of asymptotic stability of the behavior of the decentralized networked control system (DNCS),
are developed in terms of linear matrix inequalities (LMIs). Finally, to illustrate the proposed approach, a numerical example and
simulation results are presented.