Title : 
Robust Adaptive Asymptotic Tracking of Nonlinear Systems in a Semi-strict Feedback Form
         
        
            Author : 
Baijun Tian; Zhengjiang Liu
         
        
            Author_Institution : 
Navig. Coll., Dalian Maritime Univ., Dalian, China
         
        
        
        
        
            Abstract : 
For a class of nonlinear systems in a semistrict feedback form with both parametric uncertainty and unknown nonlinearities, a new control design scheme based on backstepping approach is proposed. The Nussbaum gain technique is used as a robust control term to deal with unknown nonlinearities for the first time. This gives a continuous control, in contrast to those schemes using the sign function to obtain zero steady-state tracking error. It is shown that the proposed adaptive scheme can guarantee the global uniform boundedness of all signals and achieve asymptotic tracking property with the continuous control.
         
        
            Keywords : 
"Nonlinear systems","Robustness","Uncertainty","Backstepping","Adaptive control","Lyapunov methods"
         
        
        
            Conference_Titel : 
Frontier of Computer Science and Technology (FCST), 2015 Ninth International Conference on
         
        
        
            DOI : 
10.1109/FCST.2015.26