Adaptive control for nonlinear large-scale systems with unavailable states and unknown virtual control coefficients

Base on the approximation capability of fuzzy logical systems (FLSs), adaptive decentralized control is discussed for a class of large-scale nonlinear systems with unavailable states, input saturations and unknown virtual control coefficients. In order to overcome the challenges coming from unknown virtual control coefficients and system states, the convex combination method and the observer are applied, respectively. Combing Lyapunov stability theory and backstepping technique, a decentralized output feedback control strategy is proposed to stabilize the resulting interconnected systems. Finally, an example is given to illustrate the effectiveness of our results.