Dual Heuristic Programming for Fuzzy Control

Authors

George G. Lendaris, Portland State UniversityFollow
Thaddeus T. Shannon, Portland State University
Larry J. Schultz, Portland State University
Steven Hutsell, Portland State University
Alec Rogers, Portland State University

Sponsor

This work was supported by the National Science Foundation under grant ECS-9904378.

Published In

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Document Type

Pre-Print

Publication Date

12-1-2001

Abstract

Overview material for the Special Session (Tuning Fuzzy Controllers Using Adaptive Critic Based Approximate Dynamic Programming) is provided. The Dual Heuristic Programming (DHP) method of Approximate Dynamic Programming is described and used to the design a fuzzy control system. DHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controllers or neuro-fuzzy hybrids. This technique is demonstrated by designing a temperature controller for a simple water bath system. In this example, we take advantage of the TSK model framework to initialize the tunable parameters of our plant model with reasonable problem specific values.

Description

IFSA/NAFIPS Conference, Vancouver, B.C., July, 2001 (manuscript date: 3/30/01)

Persistent Identifier

https://archives.pdx.edu/ds/psu/37282

Citation Details

Lendaris, George G.; Shannon, Thaddeus T.; Schultz, Larry J.; Hutsell, Steven; and Rogers, Alec, "Dual Heuristic Programming for Fuzzy Control" (2001). Systems Science Faculty Publications and Presentations. 205.
https://archives.pdx.edu/ds/psu/37282