Model based fuzzy controller design on tracking control problem of nonlinear dynamic system

In model based fuzzy control of nonlinear dynamic systems, it is often approximated by a set of T-S models such that conventional linear control design methods can be applied. This approach works well when the desired trajectory is exactly at the pre-defined state of linearization. However, when the desired trajectory is an Intermediate state, then tracking error will occur. It can be shown that the size of the tracking error is significant and is problem dependent This paper presents two techniques for model based fuzzy controller design on tracking control problem of nonlinear dynamic systems. The proposed techniques reduce the tracking error problem. The first technique for solving the tracking error is by directly replacing the approximating steady state control Input by an actual operating steady state control input at the fuzzy controller. The second technique solves the tracking control problem by considering a relative stabilization control problem.