H.3. Artificial Intelligence
An indirect adaptive neuro-fuzzy speed control of induction motors

M. Vahedi; M. Hadad Zarif; A. Akbarzadeh Kalat

Volume 4, Issue 2 , July 2016, , Pages 243-251

https://doi.org/10.5829/idosi.JAIDM.2016.04.02.13

Abstract
  This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution ...  Read More

Designing an adaptive fuzzy control for robot manipulators using PSO

F. Solaimannouri; M. Haddad zarif; M. M. Fateh

Volume 2, Issue 2 , July 2014, , Pages 125-133

https://doi.org/10.22044/jadm.2014.307

Abstract
  This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance ...  Read More