Control of a nonlinear multivariable system with adaptive critic designs

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Title: Control of a nonlinear multivariable system with adaptive critic designs
Author: Visnevski, Nikita A.
Abstract: A family of Adaptive Critic Designs (ACD ) was proposed by Werbos (1992 ) as a new optimization technique combining together concepts of reinforcement learning and backpropagation . The goal of each design is to find an approximation of the cost -to -go function from the Bellman equation of dynamic programming or some function related to it , and then find the optimal solution of the problem by applying a reinforcement learning technique . In ACD we have two networks called critic and action (a substitute name for "controller" in the ACD literature ) , the action network trying to minimize an approximation of the cost -to -go . There are three basic implementations of ACD called Heuristic Dynamic Programming (HDP ) , Dual Heuristic Programming (DHP ) , and Globalized Dual Heuristic Programming (GDHP ) (Prokhorov & Wunsch , to appear ) .
URI: http : / /hdl .handle .net /2346 /17900
Date: 1997-05

Citation

Control of a nonlinear multivariable system with adaptive critic designs. Master's thesis, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /17900 .

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