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Adaptive State-Feedback Stabilization for Stochastic Nonholonomic Mobile Robots with Unknown Parameters
Author(s) -
Wenli Feng,
Sun Qing-li,
Zhijun Cao,
Dongkai Zhang,
Hua Chen
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/808249
Subject(s) - nonholonomic system , backstepping , control theory (sociology) , kinematics , mobile robot , computer science , robot , state (computer science) , adaptive control , mathematics , control (management) , artificial intelligence , physics , algorithm , classical mechanics
The stabilizing problem of stochastic nonholonomic mobile robotswith uncertain parameters is addressed in this paper. Thenonholonomic mobile robots with kinematic unknown parameters areextended to the stochastic case. Based on backstepping technique,adaptive state-feedback stabilizing controllers are designed for nonholonomic mobile robots with kinematic unknown parameters whose linear velocity and angular velocity are subject to some stochastic disturbances simultaneously. A switching control strategy for the original system ispresented. The proposed controllers that guarantee the states ofclosed-loop system are asymptotically stabilized at the zeroequilibrium point in probability

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