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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...
: 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...
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...
— 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 ...
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...