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IJCNN
2000
IEEE
10 years 7 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
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...
Zhongwu Huang, S. N. Balakrishnan
IJCNN
2000
IEEE
10 years 7 months ago
Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turb
: 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...
Ganesh K. Venayagamoorthy, Ronald G. Harley, Donal...
EAAI
2008
128views more  EAAI 2008»
10 years 2 months ago
Dual heuristic programming based nonlinear optimal control for a synchronous generator
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
Jung-Wook Park, Ronald G. Harley, Ganesh K. Venaya...
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
10 years 7 months ago
Robust stability and performance analysis for multiple model adaptive controllers
— 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 ...
Dominic Pasqual Buchstaller, Mark French
EH
2005
IEEE
127views Hardware» more  EH 2005»
10 years 8 months ago
On the Robustness Achievable with Stochastic Development Processes
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...
Shivakumar Viswanathan, Jordan B. Pollack
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