Adaptive multi‐dimensional Taylor network funnel control of a class of nonlinear systems with asymmetric input saturation

Author(s):  
Yu‐Qun Han ◽  
Na Li ◽  
Wen‐Jing He ◽  
Shan‐Liang Zhu
PAMM ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Thomas Berger ◽  
Huy Hoàng Lê ◽  
Timo Reis

1998 ◽  
Vol 123 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Mooncheol Won ◽  
J. K. Hedrick

This paper presents a discrete-time adaptive sliding control method for SISO nonlinear systems with a bounded disturbance or unmodeled dynamics. Control and adaptation laws considering input saturation are obtained from approximately discretized nonlinear systems. The developed disturbance adaptation or estimation law is in a discrete-time form, and differs from that of conventional adaptive sliding mode control. The closed-loop poles of the feedback linearized sliding surface and the adaptation error dynamics can easily be placed. It can be shown that the adaptation error dynamics can be decoupled from sliding surface dynamics using the proposed scheme. The proposed control law is applied to speed tracking control of an automatic engine subject to unknown external loads. Simulation and experimental results verify the advantages of the proposed control law.


2019 ◽  
Vol 29 (10) ◽  
pp. 2877-2897 ◽  
Author(s):  
Muntazir Hussain ◽  
Muhammad Rehan ◽  
Choon Ki Ahn ◽  
Keum‐Shik Hong ◽  
Najam us Saqib

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