Model-Free Adaptive Control of MIMO Discrete-Time Nonlinear Systems

2013 ◽  
pp. 141-178
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 126224-126233
Author(s):  
Kai Deng ◽  
Fanbiao Li ◽  
Chunhua Yang

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 141062-141071 ◽  
Author(s):  
Xiaofei Zhang ◽  
Hongbin Ma ◽  
Xinghong Zhang ◽  
You Li

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Shangtai Jin ◽  
Zhongsheng Hou ◽  
Ronghu Chi

In this work, a novel higher-order model-free adaptive control scheme is presented based on a dynamic linearization approach for a class of discrete-time single input and single output (SISO) nonlinear systems. The control scheme consists of an adaptive control law, a parameter estimation law, and a reset mechanism. The design and analysis of the proposed control approach depends merely on the measured input and output data of the controlled plant. The control performance is improved by using more information of control input and output error measured from previous sampling time instants. Rigorous mathematical analysis is developed to show the bounded input and bounded output (BIBO) stability of the closed-loop system. Two simulation comparisons show the effectiveness of the proposed control scheme.


2010 ◽  
Vol 83 (10) ◽  
pp. 2120-2133 ◽  
Author(s):  
Chenguang Yang ◽  
Yanan Li ◽  
Shuzhi Sam Ge ◽  
Tong Heng Lee

2020 ◽  
Vol 30 (16) ◽  
pp. 6383-6398
Author(s):  
Xuhui Bu ◽  
Panpan Zhu ◽  
Qiongxia Yu ◽  
Zhongsheng Hou ◽  
Jiaqi Liang

Sign in / Sign up

Export Citation Format

Share Document