Decentralized Guaranteed Cost Control for Large-Scale T-S Fuzzy Systems
This paper studies the guaranteed cost control issues for the large-scale systems which are composed of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. A cost function is considered as the performance index for the system. By Lyapunov stability criterion and the parallel distributed compensation (PDC), some sufficient conditions are derived such that the large-scale fuzzy system is not only asymptotically stable but also cost-guaranteed. Furthermore, the interactive relations among the fuzzy subsystems are employed to relax previous results. The same ideas are also extended to the large-scale fuzzy system with uncertainty. Finally, two examples illustrate the effectiveness of the proposed criteria.
guaranteed cost control large-scale system uncertainty t-s fuzzy model