학술논문
Takagi-Sugeno model synthesis of a quasi-linear parameter varying mobile robot
Document Type
Conference
Author
Source
IEEE/RSJ International Conference on Intelligent Robots and Systems Intelligent robots and systems Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on. 3:2103-2108 vol.3 2002
Subject
Language
Abstract
This paper presents the application of the Takagi-Sugeno (TS) model synthesis for a quasi-linear parameter varying (QLPV) four wheel differentially steered mobile robot. The focus of this paper is a mathematical description of the mobile robot model as a QLPV and application of the TS fuzzy logic framework which complements the QLPV approach. Using QLPV model data several local TS linear models were identified using recursively the subtractive clustering method with specified error criteria. The identified TS local models resulted in a family of LTI models, which are equivalent to the linearised QLPV models. The T-S blended model synthesis resulted in a close approximation to the non-linear model dynamics.