Decentralized adaptive fuzzy integral sliding mode control for a class of large-scale system

This paper presents a decentralized adaptive fuzzy integral sliding mode controller (DAFISMC) for a class of large-scale systems in which not all the system states are available for measurement, but the system outputs are measurable. First, we adopt a fuzzy model to approximate the large scale system, and then design an observer to estimate the system states. Next, we propose a DAFISMC to control the large-scale system such that the tracking performance of the overall control system can be achieved. By the strictly-positive-real Lyapunov stability theorem, the stability of the overall system is analyzed. Computer simulations are given to demonstrate the effectiveness of the proposed control strategy.