Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach

Automatica ◽  
2017 ◽  
Vol 84 ◽  
pp. 86-94 ◽  
Author(s):  
Bahare Kiumarsi ◽  
Frank L. Lewis
2020 ◽  
Vol 42 (10) ◽  
pp. 1797-1807 ◽  
Author(s):  
Shuhua Zhang ◽  
Ronghu Chi

This work explores a model-free adaptive PID (MFA-PID) control for nonlinear discrete-time systems with rigorous mathematical analysis under a data-driven framework. An improved compact form dynamic linearization (iCFDL) is proposed to transfer the original nonlinear system into an affined linear data model including a nonlinear residual term. Both a time-difference estimator and a gradient parameter estimator are designed to estimate the nonlinear residual uncertainties and the unknown parameters in the iCFDL model. Subsequently, a novel improved CFDL based MFA-PID (iCFDL-MFA-PID) control is proposed by incorporating these two estimators. The results are extended by the use of improved partial format dynamic linearization (iPFDL) and full format dynamic linearization (iFFDL). The theoretical results are shown using contraction mapping principle-based mathematical analysis, as well as simulations.


1998 ◽  
Vol 31 (25) ◽  
pp. 227-232 ◽  
Author(s):  
Zhongsheng Hou ◽  
Cunwu Han ◽  
Wenhu Huang

2021 ◽  
Vol 5 (1) ◽  
pp. 175-180
Author(s):  
Yunjie Yang ◽  
Yan Wan ◽  
Jihong Zhu ◽  
Frank L. Lewis

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