The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Abstract--This paper presents a new nonlinear adaptive tracking controller for a class of general time-variant nonlinear systems. The control system consists of an inner loop and a...
In this paper, we consider nested sliding mode control of SISO nonlinear systems, perturbed by bounded matched and unmatched uncertainties. The systems are assumed to be in strictf...
Aras Adhami Mirhoseini, Mohammad Javad Yazdanpanah
A method of sliding mode control based on a fuzzy model identified through input output data is presented. In this approach the advantages of the sliding mode control technique ar...
Matthew J. Knight, Robert Sutton, David F. Jenkins
— High-gain PID position control, which is widely used with industrial robots, involves some risks in cases of abnormal events, such as unexpected environment contacts and tempor...
This paper considers the application of a low-force robotic manipulator to guide a human user’s movement to locate a tool at a predetermined position or to move a tool along a p...