Memoryless state observer-based adaptive control for uncertain nonlinear systems with multiple time delays
Author(s) -
Guo Peng,
Hu Hui,
Guorong Liu,
HU Jun-da
Publication year - 2010
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.59.5925
Subject(s) - control theory (sociology) , nonlinear system , upper and lower bounds , computer science , observer (physics) , state (computer science) , adaptive control , state observer , controller (irrigation) , lyapunov function , mathematics , control (management) , algorithm , physics , quantum mechanics , artificial intelligence , agronomy , biology , mathematical analysis
In this paper,the problem of adaptive control based on memoryless state observer is considered for uncertain nonlinear systems with multiple time delays. The upper bound of the time-delay state disturbance is unknown. And an adaptive law is proposed to estimate the unknown parameter of the disturbance,and the estimated value is used to design a memoryless state observer and controller,which are both independent of time-delay. Based on the Lyapunov-Krasovskii function,it is shown that the observation error can converge asymtotically to zero. Simulation results illustrate the applicability of this method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom