This paper focuses on adaptive fuzzy tracking control for a class of uncertain single-
input/single-output nonlinear strict-feedback systems. Fuzzy logic systems are directly used …

A robust adaptive tracking control approach is presented for a class of strict-feedback single-
input-single-output nonlinear systems. By employing radial-basis-function neural networks …

For the first time, this paper addresses the problem of adaptive output-feedback control for a
class of uncertain stochastic nonlinear strict-feedback systems with time-varying delays …

In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-
feedback nonlinear systems with unmeasured states. Using fuzzy logic systems to …

In this paper, an adaptive fuzzy output feedback control approach is proposed for single-
input-single-output nonlinear systems without the measurements of the states. The nonlinear …

Robust adaptive-fuzzy-tracking control of a class of uncertain multi-input/multi-output
nonlinear systems with coupled interconnections is considered in this paper. Takagi …

A robust adaptive fuzzy control approach is developed for a class of multi-input-multi-output
(MIMO) nonlinear systems with modeling uncertainties and external disturbances by using …

In this paper, a fuzzy adaptive backstepping output feedback control approach is developed
for a class of multi-input and multi-output (MIMO) nonlinear systems with unmeasured states …

In this paper, we address the problem of adaptive neural control for a class of multi-input
multi-output (MIMO) nonlinear time-delay systems in block-triangular form. Based on a …

Using mean value theorem and backstepping technique, a robust adaptive fuzzy control
scheme is proposed for a class of pure-feedback nonlinear systems with unknown dead …