Moreover, this dissertation also investigates an alternative stabilization for T-S fuzzy control system. Based on the T-S model in phase-variable canonical form, one can design the T-S fuzzy control system to fulfill different specification in different operating region. In the meantime, the existing common P problem in the T-S fuzzy system may just satisfy partial number of Lyapunov equations but not all Lyapunov equations. Hence, the stability of the T-S fuzzy control system can be guaranteed much easier.
Furthermore, the fuzzy logic control design strategy is applied to the complex fuzzy large-scale systems. After choosing some operating point, the fuzzy large-scale systems is first decomposed by the T-S fuzzy model. Accordingly, some sufficient conditions are constructed for ensuring the stability of the global fuzzy system. The demanding for an exact model in traditional control strategy is then resolved.
Several illustrative examples and simulations are used to demonstrate that the proposed approaches are effective and workable. Besides, the designing procedure for the T-S fuzzy system is systematic and simplified.

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