1. Adaptive Robust Control for Trajectory Tracking of Autonomous underwater Vehicles on Horizontal Plane

N. Zendehdel; S. J. Sadati; A. Ranjbar Noei

Volume 7, Issue 3 , Summer 2019, , Pages 475-486

http://dx.doi.org/10.22044/jadm.2018.6787.1795

Abstract
  This manuscript addresses trajectory tracking problem of autonomous underwater vehicles (AUVs) on the horizontal plane. Adaptive sliding mode control is employed in order to achieve a robust behavior against some uncertainty and ocean current disturbances, assuming that disturbance and its derivative ...  Read More

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

A. Karami-Mollaee

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

http://dx.doi.org/10.22044/jadm.2016.586

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

G.2. Models and Principles
3. Governor design for hydropower plants by intelligent sliding mode variable structure control

D. Qian; L. Yu

Volume 4, Issue 1 , Winter 2016, , Pages 85-92

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.01.10

Abstract
  This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized ...  Read More