scholarly journals Neural control of nonlinear systems with composite adaptation for improved convergence of Gaussian networks

1997 ◽  
Author(s):  
S. Fabri ◽  
V. Kadirkamanathan
Keyword(s):  
Nonlinear Systems ◽  
Neural Control ◽  
Gaussian Networks

scholarly journals The Adaptive Neural Control for a Class of High-Order Uncertain Stochastic Nonlinear Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Xiaoyan Qin
Keyword(s):  
Nonlinear Systems ◽  
Neural Control ◽  
Closed Loop ◽  
Control Method ◽  
High Order ◽  
Stochastic Nonlinear Systems ◽  
Closed Loop System ◽  
Adaptive Neural Control ◽  
Control Scheme ◽  
Approximation Capability

This paper studies the problem of the adaptive neural control for a class of high-order uncertain stochastic nonlinear systems. By using some techniques such as the backstepping recursive technique, Young’s inequality, and approximation capability, a novel adaptive neural control scheme is constructed. The proposed control method can guarantee that the signals of the closed-loop system are bounded in probability, and only one parameter needs to be updated online. One example is given to show the effectiveness of the proposed control method.

Adaptive Neural Control for MIMO Pure-Feedback Nonlinear Systems With Periodic Disturbances

2019 ◽  
Vol 30 (6) ◽  
pp. 1756-1767 ◽  
Author(s):  
Renwei Zuo ◽  
Xinmin Dong ◽  
Yongzhi Liu ◽  
Zongcheng Liu ◽  
Wenqian Zhang
Keyword(s):  
Nonlinear Systems ◽  
Neural Control ◽  
Adaptive Neural Control ◽  
Periodic Disturbances
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