Title :
Mode recognition of hybrid dynamical systems with nonlinear modes using Takagi-Sugeno models
Author :
Zouari, T. ; Pekpe, K.M. ; Cocquempot, V. ; Ksouri, Moufida
Abstract :
This paper deals with switching detection and recognition of current operating mode in hybrid systems, where the nonlinear modes are represented by a Takagi Sugeno model. A data-based projection method is used to generate a set of signals, named residuals. This method uses only the input/output known signals and the kind of model (linear, bilinear, ...); the precise value of the model parameters is not needed. The residuals may be used as an operating mode indicator under discernability conditions. These conditions are tested on-line. An academic example is provided to illustrate the efficiency of this method.
Keywords :
fault diagnosis; fuzzy control; nonlinear systems; time-varying systems; Takagi-Sugeno model; current operating mode; data based projection method; hybrid dynamical system; hybrid system; mode recognition; nonlinear mode; precise value; residual; signal set; switching detection; Conferences; Equations; Fault detection; Indexes; Mathematical model; Switches; Takagi-Sugeno model;
Conference_Titel :
Control and Fault-Tolerant Systems (SysTol), 2010 Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-8153-8
DOI :
10.1109/SYSTOL.2010.5675952