Title :
New Consistency Condition for Exponential Stabilization of Smapled-data Nonlinear Systems
Author :
Huiyu, Jin ; Baoqun, Yin
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Abstract :
Exponential stability of smapled-data nonlinear systems is investigated via the systems´ Euler approximations. New consistency condition and its sufficient conditions are presented. Under the consistency condition the exponential stable controllers for Euler approximations also exponentially stabilize the exact discrete-time models. These conditions may be verified with the continuous-time models, the control laws and the Euler approximations of the systems so that the sampled-data controllers could be designed based on the Euler approximations of the systems while the exact discrete-time models are unknown.
Keywords :
approximation theory; asymptotic stability; continuous time systems; discrete time systems; nonlinear control systems; sampled data systems; Euler approximation; consistency condition; continuous-time model; exact discrete-time model; exponential stability; exponential stabilization; exponential stable controller; sampled-data nonlinear systems; sufficient condition; Adaptive control; Automatic control; Automation; Control systems; Digital control; Nonlinear control systems; Nonlinear systems; Sampling methods; Stability; Sufficient conditions; Consistency condition; Euler approximation; Exponential stability; Nonlinear; Smapled-data systems;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347518