Robust Mode Recognition in Hybrid Dynamical Systems with Nonlinear Modes
Switching detection and active mode recognition in Hybrid Dynamical Systems (HDS) with nonlinear continuous dynamics are considered in this paper. The nonlinear modes are represented by Takagi-Sugeno models. Two methods based on projection techniques are proposed to generate a bank of residuals which are mode indicators: the. rst one is the well-known parity space method which uses the TS model parameters, the second one is a data-based projection method that does not need the parameter values of the TS model. Robustness of the two methods against parameter uncertainties is discussed. An illustrative example is provided to show the effectiveness of the proposed methods.
Hybrid Dynamical Systems (HDS) Takagi-Sugeno multimodel Fault Detection and Isolation (FDI) Parity Space
Talel Zouari Komi Midzodzi Pekpe Vincent Cocquempot Moufida Ksouri
LAGISFRE 3303 CNRS, LILLE 1 University, Villeneuve dAscq 59650, France;ACS, School of Engineering o LAGISFRE 3303 CNRS, LILLE 1 University, Villeneuve dAscq 59650, France ACS, School of Engineering of Tunis (ENIT), PB 37 Le Belvédère, 1002 Tunis, Tunisia
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
1308-1313
2011-05-23(万方平台首次上网日期,不代表论文的发表时间)