Paper Info
Title
Shape-independent model predictive control for Takagi-Sugeno fuzzy systems.
Abstract
Predictive control of TS fuzzy systems has been addressed in prior literature with some simplifying assumptions or heuristic approaches. This paper presents a rigorous formulation of the model predictive control of TS systems, so that results are valid for any membership value (shape-independent) with a suitable account of causality (control can depend on current and past memberships and state). As in most fuzzy control results, a family of progressively better controllers can be obtained by increasing Polya-related complexity parameters, generalising over prior proposals.
Year
DOI
Venue
2017
10.1016/j.engappai.2017.07.011
Engineering Applications of Artificial Intelligence
Keywords
Field
DocType
Predictive control,Fuzzy control,Polya relaxations
Mathematical optimization,Heuristic,Causality,Defuzzification,Computer science,Model predictive control,Artificial intelligence,Fuzzy control system,Fuzzy number,Machine learning
Journal
Volume
ISSN
Citations 
65
0952-1976
3
PageRank 
References 
Authors
0.40
16
3
Name
Order
Citations
PageRank
Carlos Ariño110910.89
Andres Querol230.40
A. Sala356233.44