Recent years have seen a rapid development of neural network control tech niques and
their successful applications. Numerous simulation studies and actual industrial …

In this paper, a robust adaptive tracking control problem is discussed for a general class of
strict-feedback uncertain nonlinear systems. The systems may possess a wide class of …

An adaptive fuzzy robust tracking control (AFRTC) algorithm is proposed for a class of
nonlinear systems with the uncertain system function and uncertain gain function, which are …

Fuzzy approximate disturbance decoupling concept is introduced for a class of multiple-
input-multiple-output (MIMO) nonlinear systems with completely unknown nonlinearities …

This article introduces a novel sliding mode control (SMC) law to achieve trajectory tracking
for a class of descriptor systems with unknown uncertainties. It approximates the …

This paper presents a self-organizing control system based on cerebellar model articulation
controller (CMAC) for a class of multiple-input-multiple-output (MIMO) uncertain nonlinear …

In this paper, adaptive neural network (NN) control is investigated for a class of block
triangular multiinput-multioutput nonlinear discrete-time systems with each subsystem in …

The control of any robotic system always faces many great challenges in theory and
practice. Because between theory and reality, there is always a huge difference in the …

The series Advances in Industrial Control aims to report and encourage of control
technology transfer in control engineering. The rapid development technology has an impact …

This paper presents a general framework for robust adaptive neural network (NN)‐based
feedback linearization controller design for greenhouse climate system. The controller is …