7 search results - page 1 / 2 » Robust Adaptive Critic Based Neurocontrollers for Systems wi... |
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
: This paper presents the design of a neurocontroller for a turbogenerator that augments/replaces the conventional Automatic Voltage Regulator (AVR) and the turbine governor. The n...
EAAI
2008
13 years 4 months ago
2008
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
— For an Estimation Based Multiple Model Switched Adaptive Control (EMMSAC) algorithm controlling a MIMO minimal LTI plant, lp, 1 ≤ p ≤ ∞ bounds on the gain from the input ...
EH
2005
IEEE
13 years 10 months ago
2005
IEEE
Manufacturing processes are a key source of faults in complex hardware systems. Minimizing this impact of manufacturing uncertainties is one way towards achieving fault tolerant s...