Self-optimizing fuzzy controller for nonlinear system with constraints

Autor:	Jing-Song Hu
Rok vydání:	2011
Předmět:	Mathematical optimization Adaptive neuro fuzzy inference system Nonlinear system Neuro-fuzzy Control theory Control system Fuzzy control system Fuzzy logic Defuzzification Mathematics
Zdroj:	FSKD
DOI:	10.1109/fskd.2011.6019558
Popis:	This paper presents a self-optimizing fuzzy controller for nonlinear dynamic plants whose model (including non-mathematical models and expert knowledge) is unknown. A new fuzzy algorithm is presented to improve control performances. Furthermore, a global meta-heuristic algorithm is presented to optimize the fuzzy parameters and to satisfy some nonlinear constraints. The numerical simulated experiments show the good performance on a time-varying parameters nonlinear plant.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d038e6c6afd7464e14f3da946d1dca84 https://doi.org/10.1109/fskd.2011.6019558 Zobrazit plný text záznamu