Paper Info
Title
Constrained Cuckoo Search Algorithm And Takagi-Sugeno Fuzzy Models For Predictive Control
Abstract
In this paper, a new predictive control scheme formulated by using the Takagi-Sugeno fuzzy modeling method and a new constrained cuckoo search algorithm. The cuckoo search algorithm is used to determine the predictive controls by minimizing a constrained criterion. The Takagi-Sugeno fuzzy modelling approach is applied to forecast the states of the process. At the optimization stage, the proposed cuckoo search provides the control action taking into account constraints. The performances of the developed method are tested during its application in the three-tank process. Therefore, the experimental results demonstrate that the combination of the philosophy of the fuzzy model and cuckoo search is very good in the controlling of nonlinear processes. In addition, the closed-loop performance of the developed method is compared to approach based with the particle swarm optimisation algorithm and those obtained with fuzzy model predictive controller.
Year
DOI
Venue
2021
10.1177/0142331220966308
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Keywords
DocType
Volume
Model predictive control, adaptive Takagi-Sugeno fuzzy model, cuckoo search algorithm, three tank system
Journal
43
Issue
ISSN
Citations 
5
0142-3312
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Adel Taeib142.38
Hichem Salhi200.34
abdelkader chaari354.56