Title :
Current observer for sampled-data fuzzy systems
Author :
Lo, Ji-Chang ; Su, Chien-Hao
Author_Institution :
Fac. of Mech. Eng., Nat. Central Univ., Chung-Li, Taiwan
Abstract :
We investigate an observer synthesis and stability analysis involving sampled-data fuzzy systems arising from rapid growth of digital observer implementations. The underlying error system is shown to be asymptotically stable when intersampling effects are taken into account. Being a periodically time-varying hybrid (discrete/continuous) system, the Riccati inequality associated with the sampled-data fuzzy system poses difficulties for synthesis and analysis using LMI convex programming. To resolve the difficulties, a convex solution is assumed and the main result is expressed in LMI formulation. Lastly, the validity and applicability of the approach are demonstrated by an example.
Keywords :
Riccati equations; asymptotic stability; control system synthesis; convex programming; error analysis; fuzzy systems; linear matrix inequalities; observers; sampled data systems; time-varying systems; LMI; Riccati inequality; TS fuzzy model; asymptotic stability; continuous system; convex programming; current observer; digital observer; discrete system; error system; hybrid system; intersampling effect; linear matrix inequality; observer synthesis; periodically time-varying hybrid; sampled-data fuzzy system; stability analysis; Control systems; Fuzzy systems; Linear systems; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Optimal control; Riccati equations; Sampling methods; Time varying systems;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470639