Stability and robustness of fuzzy adaptive control of nonlinear systems

2011 ◽  
Vol 11 (1) ◽  
pp. 166-178 ◽  
Author(s):  
Raouf Ketata ◽  
Yassine Rezgui ◽  
Nabil Derbel
1999 ◽  
Vol 104 (2) ◽  
pp. 279-288 ◽  
Author(s):  
Yuezhong Tang ◽  
Naiyao Zhang ◽  
Yanda Li

1999 ◽  
Vol 101 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Shao Cheng Tong ◽  
Qingguo Li ◽  
Tianyou Chai

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Ruitong Wu ◽  
Yongming Li ◽  
Jun Hu ◽  
Wei Liu ◽  
Shaocheng Tong

<p style='text-indent:20px;'>This paper investigates the switching mechanism-based event-trig-gered fuzzy adaptive control issue of multi-input and multi-output (MIMO) nonlinear systems with prescribed performance (PP). Utilizing fuzzy logic systems (FLSs) to approximate unknown nonlinear functions. By using the switching threshold strategy, the system has more flexibility in strategy selection. The proposed control scheme can better solve the communication resource limitation. On account of the Lyapunov stability theory, the stability of the controlled system is proved. And all signals of the controlled system are bounded. Moreover, the tracking errors are controlled in a diminutive realm of the origin within the PP bounded. Simultaneously, the Zeno behavior is avoided. Finally, illustrate the effectiveness of the control scheme that has been proposed by demonstrating some simulation consequences.</p>


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