A.2. Control Structures and Microprogramming
1. Adaptive fuzzy pole placement for stabilization of non-linear systems

A. Karami-Mollaee

Volume 4, Issue 2 , Summer 2016, , Pages 169-176

Abstract
  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 ...  Read More

A.2. Control Structures and Microprogramming
2. Discrete time robust control of robot manipulators in the task space using adaptive fuzzy estimator

M. M. Fateh; S. Azargoshasb

Volume 3, Issue 1 , Winter 2015, , Pages 113-120

Abstract
  This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances ...  Read More