DocumentCode :
232652
Title :
Perfect adaptation of perturbed nonlinear systems
Author :
Wei Su
Author_Institution :
Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
6844
Lastpage :
6848
Abstract :
A biological system is said to possess perfect adaptation ability if its biological function can restore precisely to the previous level after being affected by environmental changes. Such a biological system can be mathematically modelled as an input-output system whose output is asymptotically stable under all input disturbances concerned. Especially, in this paper, nonlinear systems whose dynamics are perturbed by disturbances through additive perturbation functions are used to investigate their perfect adaptation ability. First, using way of Lyapunov function, we give a sufficient condition for the single-output nonlinear systems with additive perturbation functions of constant disturbances to be perfectly adapting. Second, we survey the linear case of perfect adaptation systems. Furthermore, a biological perfect adaptation model and an example of nonlinear system are demonstrated to verify of the above results. Different with the existing mathematical studies on perfect adaptation, most of which are based on the viewpoint of control theory, we first interpret it by methods of nonlinear analysis.
Keywords :
Lyapunov methods; nonlinear systems; perturbation techniques; Lyapunov function; additive perturbation functions; all input disturbances; asymptotic stability; biological function; biological perfect adaptation model; biological system; constant disturbances; input-output system; nonlinear analysis; perfect adaptation systems; perturbed nonlinear systems; single-output nonlinear systems; sufficient condition; Adaptation models; Biological system modeling; Biological systems; Control theory; Nonlinear systems; Stability analysis; Output Stability; Perfect Adaptation; Perturbed System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896127
Filename :
6896127
Link To Document :
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