Constrained Cost Fuzzy Control via Decentralized Design Approach for Nonlinear Descriptor Interconnected Systems

This paper proposes a decentralized robust constrained cost fuzzy controller (DRCCFC) design for nonlinear descriptor interconnected systems (DIS) with uncertainties. The considered DIS is modeled using Takagi–Sugeno model (T-S FM) rules and strong interconnections. To derive sufficient stability conditions, the quadratic Lyapunov function (QLF) free-weighting (FWF) are defined. In contrast to existing control approaches, proportional–derivative feedback (PDF) introduced in this paper. Using PDF techniques, regular causal problems of system can be solved easily. Based on technique (CCC) function, set controllers designed effectively DIS). Then, proposed conditions T-S derived form linear matrix inequalities Schur complement technique. Finally, two simulation examples provided demonstrate validity scheme.