Indirect adaptive H$_{i}$ output feedback control based on LS-SVM for uncertain nonlinear systems

摘要: A novel framework of indirect adaptive H$_{i}$ control method based on least squares support vector machines (LS-SVM) is proposed for a class uncertain nonlinear systems with unavailable states and external disturbance. In this method, state observer designed to estimate the system states, LS-SVM employed approximate unknown dynamics systems. The used attenuate effect tracking error caused by approximation errors parameters controller are self-tuned according law derived using Lyapunov stability theory. asymptotic close-loop proved. For evaluating numerical simulations chaotic an inverted pendulum presented. simulation results verified its effectiveness feasibility.