Adaptive stabilization for a class of stochastic nonholonomic systems with nonlinear parameterization

Author(s):  
Fangzheng Gao ◽  
Fushun Yuan ◽  
Hejun Yao
2018 ◽  
Vol 51 (15) ◽  
pp. 616-621
Author(s):  
Wei Lin ◽  
Kanya Rattanamongkhonkun ◽  
Radom Pongvuthithum

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yanling Shang ◽  
Ye Yuan ◽  
Fushun Yuan

This paper investigates the problem of adaptive output feedback stabilization for a class of nonholonomic systems with nonlinear parameterization and strong nonlinear drifts. A parameter separation technique is introduced to transform nonlinearly parameterized system into a linear-like parameterized system. Then, by using the integrator backstepping approach based on observer and parameter estimator, a constructive design procedure for output feedback adaptive control is given. And a switching strategy is developed to eliminate the phenomenon of uncontrollability. It is shown that, under some conditions, the proposed controller can guarantee that all the system states globally converge to the origin, while other signals remain bounded. An illustrative example is also provided to demonstrate the effectiveness of the proposed scheme.


2014 ◽  
Vol 47 (3) ◽  
pp. 5734-5739
Author(s):  
Chaoli Wang ◽  
Guoliang Wei ◽  
Hengjun Zhang ◽  
Dongkai Zhang ◽  
Zijing Wang ◽  
...  

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