Self-triggering adaptive optimal control for nonlinear systems based on encoding mechanism

2021 ◽  
Author(s):  
Xuyang Lou ◽  
Zheng Ji
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Adaptive Optimal Control

Adaptive optimal control of unknown nonlinear systems with different time scales

2017 ◽  
Vol 238 ◽  
pp. 179-190 ◽  
Author(s):  
Zhi-Jun Fu ◽  
Wen-Fang Xie ◽  
Subhash Rakheja ◽  
Dong-Dong Zheng
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Time Scales ◽  
Adaptive Optimal Control ◽  
Different Time Scales

scholarly journals Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach

2020 ◽  
Vol 31 (2) ◽  
pp. 549-558 ◽  
Author(s):  
Shuping He ◽  
Haiyang Fang ◽  
Maoguang Zhang ◽  
Fei Liu ◽  
Zhengtao Ding
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Policy Iteration ◽  
Adaptive Optimal Control

scholarly journals Adaptive Optimal Control for Large-Scale Nonlinear Systems

2017 ◽  
Vol 62 (11) ◽  
pp. 5567-5577 ◽  
Author(s):  
Iakovos Michailidis ◽  
Simone Baldi ◽  
Elias B. Kosmatopoulos ◽  
Petros A. Ioannou
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Large Scale ◽  
Adaptive Optimal Control

On the Formulation of Adaptive Optimal Control Problems

1965 ◽  
Vol 87 (1) ◽  
pp. 125-134 ◽  
Author(s):  
A. E. Pearson ◽  
P. E. Sarachik
Keyword(s):  
Optimal Control ◽  
Nonlinear Systems ◽  
Optimal Control Problem ◽  
Optimal Control Problems ◽  
Performance Criteria ◽  
Control Problems ◽  
Operator Representation ◽  
Adaptive Optimal Control ◽  
Output Time ◽  
Input Time

The paper relates to an approach introduced by Kulikowski for adaptive optimal control of nonlinear systems. In this approach, the plant dynamics are represented symbolically by an operator which transforms or maps input time functions into corresponding output time functions. The contributions of the paper arise mainly from the physical considerations associated with such an operator representation, specifically the memory of the plant, and the influence of these considerations upon the formulation. It is shown that the optimal control problem may be formulated in various ways for a given plant and given performance criteria depending upon how the memory of the plant is taken into account.

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