Adaptive Closed-loop Control Strategy for Paralyzed Skeletal Muscles

Robust Adaptive Fuzzy Sliding Mode Control of Permanent Magnet Stepper Motor with Unknown Parameters and Load Torque

In this paper, robust adaptive fuzzy sliding mode control is designed to control the Permanent Magnet (PM) stepper motor in the presence of model uncertainties and disturbances. In doing so, the nonlinear model is converted to canonical form, then, for designing the controller, the robust sliding mode control is designed to decrease the effects of uncertainties and disturbances. A class of fuzz...

Time Optimal Closed - Loop Fuzzy - Control Strategy for Nonlinear Lunar Lander Mission

Adaptive fuzzy pole placement for stabilization of non-linear systems

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

Classical and adaptive control of ex vivo skeletal muscle contractions using Functional Electrical Stimulation (FES)

Functional Electrical Stimulation is a promising approach to treat patients by stimulating the peripheral nerves and their corresponding motor neurons using electrical current. This technique helps maintain muscle mass and promote blood flow in the absence of a functioning nervous system. The goal of this work is to control muscle contractions from FES via three different algorithms and assess ...

Robust adaptive control of voltage saturated flexible joint robots with experimental evaluations

This paper is concerned with the problem of design and implementation a robust adaptive control strategy for flexible joint electrically driven robots (FJEDR), while considering to the constraints on the actuator voltage input. The control design procedure is based on function approximation technique, to avoid saturation besides being robust against both structured and unstructured uncertaintie...