Self-Organising Fuzzy Logic Control with a New On-Line Particle Swarm Optimisation-based Supervisory Layer

M. Ehtiawesh, M. Mahfouf

2014

Abstract

The Self-Organising Fuzzy Logic Control (SOFLC) which is an extended version of the Fuzzy logic controller was designed to make Fuzzy controllers work with less dependency on previous knowledge. Since the introduction of the SOFLC, only a few attempts have been made to create a performance index table that is responsible for the corrections of the low-level control ‘adaptable’ according to the dynamics of the process under control. In this paper a new dynamic supervisory layer is proposed which enables the controller to adapt its structure on-line to any given certain performance criteria. In this mechanism, the controller starts from an empty rule-base and uses an on-line Particle Swarm Optimisation (PSO) algorithm to adapt the cells of the performance index (PI) table while issuing control actions to the low-level fuzzy rule-base. The Simulation results achieved when the proposed scheme was tested on a non-linear muscle relation process showed that it is superior to the standard SOFLC scheme in terms of accurate tracking and efficient fuzzy rule-base elicitation (a conservative number of fuzzy rules)

Paper Citation

in Harvard Style

Ehtiawesh M. and Mahfouf M. (2014). Self-Organising Fuzzy Logic Control with a New On-Line Particle Swarm Optimisation-based Supervisory Layer . In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 95-102. DOI: 10.5220/0005033200950102

in Bibtex Style

@conference{fcta14,
author={M. Ehtiawesh and M. Mahfouf},
title={Self-Organising Fuzzy Logic Control with a New On-Line Particle Swarm Optimisation-based Supervisory Layer},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={95-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005033200950102},
isbn={978-989-758-053-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - Self-Organising Fuzzy Logic Control with a New On-Line Particle Swarm Optimisation-based Supervisory Layer
SN - 978-989-758-053-6
AU - Ehtiawesh M.
AU - Mahfouf M.
PY - 2014
SP - 95
EP - 102
DO - 10.5220/0005033200950102