Design of Bang-bang Controller Based on a Fuzzy-Neuro Approach: Application to a Heating System

Authors:
Grantham K. H. Pang;Samy A. Mesbah
Affiliations:
Department of Electrical &/ Electronic Engineering, University of Hong Kong, Pokfulam Road, Hong Kong/ e-mail: gpang@eee.hku.hk;Department of Electrical &/ Electronic Engineering, University of Hong Kong, Pokfulam Road, Hong Kong/ e-mail: gpang@eee.hku.hk
Venue:
Journal of Intelligent and Robotic Systems
Year:
1998

Citing 5
Cited 0

Fuzzy and neural control

An introduction to intelligent and autonomous control
Adaptive fuzzy systems and control: design and stability analysis

Adaptive fuzzy systems and control: design and stability analysis
On Bang-Bang Constrained Solutions of a Control System

SIAM Journal on Control and Optimization
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Implementing adaptive fuzzy logic controllers with neural networks

Implementing adaptive fuzzy logic controllers with neural networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

A fuzzy-neuro approach for the design of bang-bang controller ispresented in this paper. The approach has been used with success for thetime optimal bang-bang control of a heating system. The improved bang-bangcontroller suppresses the oscillations often observed at the output of anon-off controller. A fuzzy system is used for the implementation of theon-off control. An extension of the fuzzy control is provided by anequivalent neural network of the fuzzy system. A test application, that of ahouse heating with a two-state furnace, is developed and evaluated withstandard hysteresis switching, fuzzy control, and fuzzy-neuro control.