Title :
Nonsynchronized Robust Filtering Design for Continuous-Time T–S Fuzzy Affine Dynamic Systems Based on Piecewise Lyapunov Functions
Author :
Jianbin Qiu ; Hui Tian ; Qiugang Lu ; Huijun Gao
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
Abstract :
This paper investigates the problem of robust H∞ state estimation for a class of continuous-time nonlinear systems via Takagi-Sugeno (T-S) fuzzy affine dynamic models. Attention is focused on the analysis and design of an admissible full-order filter such that the resulting filtering error system is asymptotically stable with a guaranteed H∞ disturbance attenuation level. It is assumed that the plant premise variables, which are often the state variables or their functions, are not measurable so that the filter implementation with state-space partition may not be synchronous with the state trajectories of the plant. Based on piecewise quadratic Lyapunov functions combined with S-procedure and some matrix inequality linearization techniques, some new results are presented for the filtering design of the underlying continuous-time T-S fuzzy affine systems. Illustrative examples are given to validate the effectiveness and application of the proposed design approaches.
Keywords :
H∞ control; Lyapunov methods; asymptotic stability; continuous time systems; filtering theory; fuzzy systems; linear matrix inequalities; nonlinear systems; state estimation; state-space methods; H∞ disturbance attenuation level; S-procedure; Takagi-Sugeno fuzzy affine dynamic models; admissible full-order filter analysis; admissible full-order filter design; asymptotic stability; continuous-time T-S fuzzy affine dynamic systems; continuous-time nonlinear systems; filtering error system; matrix inequality linearization techniques; nonsynchronized robust filtering design; piecewise quadratic Lyapunov functions; plant premise variables; robust H∞ state estimation; state-space partition; Filtering; Fuzzy systems; Linear matrix inequalities; Lyapunov methods; Nonlinear systems; Robustness; Vectors; Parameter uncertainties; T–S fuzzy affine systems; piecewise quadratic Lyapunov functions (PQLFs); state estimation;
Journal_Title :
Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2012.2229389