Optimal feedback controls in deterministic two-machine flowshops with finite buffers

2000 ◽  
Vol 45 (6) ◽  
pp. 1198-1203 ◽  
Author(s):  
Ngo Tai Fong ◽  
Xun Yu Zhou
Keyword(s):  
Feedback Controls ◽  
Finite Buffers ◽  
Optimal Feedback

Stability and Optimal Feedback Controls for Time-Delayed Linear Periodic Systems

AIAA Journal ◽  
2004 ◽  
Vol 42 (5) ◽  
pp. 908-911 ◽  
Author(s):  
Jie Sheng ◽  
Ozer Elbeyli ◽  
J. Q. Sun
Keyword(s):  
Periodic Systems ◽  
Feedback Controls ◽  
Optimal Feedback ◽  
Linear Periodic Systems

Comparison of two optimal feedback controls for parabolic systems

1984 ◽  
Vol 5 (2) ◽  
pp. 137-148
Author(s):  
M. Amouroux ◽  
M. Courdesses ◽  
A. El. Jai
Keyword(s):  
Parabolic Systems ◽  
Feedback Controls ◽  
Optimal Feedback

scholarly journals Optimal Feedback Controls: Comparative Evaluation of the Cod Fisheries in Denmark, Iceland, and Norway

2004 ◽  
Vol 86 (2) ◽  
pp. 531-542 ◽  
Author(s):  
Ragnar Arnason ◽  
Leif K. Sandal ◽  
Stein Ivar Steinshamn ◽  
Niels Vestergaard
Keyword(s):  
Comparative Evaluation ◽  
Feedback Controls ◽  
Optimal Feedback ◽  
Cod Fisheries

Saturating and time-optimal feedback controls

1993 ◽  
Vol 16 (3) ◽  
pp. 541-548 ◽  
Author(s):  
M. Bikdash ◽  
E. M. Cliff ◽  
A. H. Nayfeh
Keyword(s):  
Feedback Controls ◽  
Optimal Feedback ◽  
Time Optimal

scholarly journals The Adaptive Dynamic Programming Toolbox

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5609
Author(s):  
Xiaowei Xing ◽  
Dong Eui Chang
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Attitude Control ◽  
Adaptive Dynamic Programming ◽  
Feedback Controls ◽  
Programming Technique ◽  
Adaptive Dynamic ◽  
Optimal Feedback ◽  
Model Free ◽  
Time Control

The paper develops the adaptive dynamic programming toolbox (ADPT), which is a MATLAB-based software package and computationally solves optimal control problems for continuous-time control-affine systems. The ADPT produces approximate optimal feedback controls by employing the adaptive dynamic programming technique and solving the Hamilton–Jacobi–Bellman equation approximately. A novel implementation method is derived to optimize the memory consumption by the ADPT throughout its execution. The ADPT supports two working modes: model-based mode and model-free mode. In the former mode, the ADPT computes optimal feedback controls provided the system dynamics. In the latter mode, optimal feedback controls are generated from the measurements of system trajectories, without the requirement of knowledge of the system model. Multiple setting options are provided in the ADPT, such that various customized circumstances can be accommodated. Compared to other popular software toolboxes for optimal control, the ADPT features computational precision and time efficiency, which is illustrated with its applications to a highly non-linear satellite attitude control problem.

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