Approximation-based adaptive tracking control of nonlinear pure-feedback systems with time-varying output constraints

2014 ◽  
Vol 13 (2) ◽  
pp. 257-265 ◽  
Author(s):  
Bong Su Kim ◽  
Sung Jin Yoo
Keyword(s):  
Tracking Control ◽  
Time Varying ◽  
Feedback Systems ◽  
Adaptive Tracking Control ◽  
Adaptive Tracking ◽  
Output Constraints

Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints

2019 ◽  
Vol 485 ◽  
pp. 170-199 ◽  
Author(s):  
Farouk Zouari ◽  
Asier Ibeas ◽  
Abdesselem Boulkroune ◽  
Jinde Cao ◽  
Mohammad Mehdi Arefi
Keyword(s):  
Tracking Control ◽  
Time Varying ◽  
Adaptive Tracking Control ◽  
Integer Order ◽  
Adaptive Tracking ◽  
Output Constraints

Adaptive tracking control for nonlinear time-delay systems with time-varying full state constraints

2020 ◽  
Vol 42 (12) ◽  
pp. 2178-2190
Author(s):  
Yuxiang Wu ◽  
Tian Xu ◽  
Hongqiang Mo
Keyword(s):  
Time Delay ◽  
Tracking Control ◽  
State Constraints ◽  
Delay Systems ◽  
Time Varying ◽  
Feedback Systems ◽  
Adaptive Tracking Control ◽  
Adaptive Tracking ◽  
Full State ◽  
Full State Constraints

This paper presents an adaptive tracking control approach for a class of uncertain nonlinear strict-feedback systems subject to time-varying full state constraints and time-delays. To stabilize such systems, an adaptive tracking controller is structured by combining the neural networks and the backstepping technique. To guarantee all states do not violate the time-varying constraint sets, the appropriate time-varying Barrier Lyapunov functions are employed at each stage of the backstepping procedure. By using the Lyapunov-Krasovskii functionals, the effect of time delay is eliminated. It is proved that the output follows the desired signal well without violating any constraints, and all the signals in the closed-loop system are semiglobal uniformly ultimately bounded by using the Lyapunov analysis. Finally, a comparison study simulation is provided to illustrate the effectiveness of the proposed control strategy.

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