Shape-Independent Model Predictive Control for Takagi-Sugeno Fuzzy Systems
| Autor: | Antonio Sala, Andrés Querol, Carlos Ariño |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization business.industry Computer science Heuristic 02 engineering and technology Fuzzy control system Fuzzy control Defuzzification INGENIERIA DE SISTEMAS Y AUTOMATICA Causality (physics) Model predictive control Polya relaxations 020901 industrial engineering & automation Artificial Intelligence Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Fuzzy number 020201 artificial intelligence & image processing State (computer science) Artificial intelligence Electrical and Electronic Engineering Predictive control business Control (linguistics) |
| Zdroj: | Repositori Universitat Jaume I Universitat Jaume I RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| DOI: | 10.1016/j.engappai.2017.07.011 |
| Popis: | [EN] 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. (C) 2017 Elsevier Ltd. All rights reserved. The authors are grateful to the financial support of Spanish Ministry of Economy and European Union, grant DPI2016-81002-R (AEI/FEDER, UE), and grant P11B2015-36 (Universitat Jaume I). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|