scholarly journals Adaptive Neural Dynamic Surface Output Feedback Control for Nonlinear Full States Constrained Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 131590-131600
Author(s):  
Qinyin Su ◽  
Min Wan
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Constrained Systems ◽  
Neural Dynamic ◽  
Dynamic Surface

scholarly journals Adaptive output feedback control for a class of uncertain non-strict feedback systems with asymmetric time-varying output constraints

2020 ◽  
Vol 12 (9) ◽  
pp. 168781402095882
Author(s):  
Min Wan ◽  
Shanshan Huang
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Tracking Error ◽  
Output Feedback Control ◽  
Time Varying ◽  
Dynamic Surface ◽  
Adaptive Output Feedback Control ◽  
Output Constraints ◽  
Fuzzy State ◽  
Strict Feedback

This study investigated a novel adaptive output feedback control scheme for non-strict feedback nonlinear systems with uncertainties, disturbances, and asymmetric time-varying output constraints. Because that the states of the system are unmeasurable, we used an adaptive fuzzy state observer to obtain the estimated values of the states. To make the output and tracking error satisfy their asymmetric time-varying constraints, an asymmetric time-varying barrier Lyapunov function was adopted. To overcome the “explosion of complexity” problem, we also adopted the dynamic surface control technology. The stability of the closed-loop system was proved by the Lyapunov method, and we give two simulation examples to show the effectiveness of the proposed control method.

H∞ Output Feedback Control of Constrained Systems via Moving Horizon Strategy

2007 ◽  
Vol 33 (11) ◽  
pp. 1176-1181 ◽  
Author(s):  
Juan WANG ◽  
Zhi-Yuan LIU ◽  
Hong CHEN ◽  
Shu-You YU ◽  
Run PEI
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Output Feedback Control ◽  
Constrained Systems
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