Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model

Author(s):  
Weinan Gao ◽  
Mohammed Mynuddin ◽  
Donald C. Wunsch ◽  
Zhong-Ping Jiang
2020 ◽  
Vol 50 (7) ◽  
pp. 3147-3156 ◽  
Author(s):  
Yi Jiang ◽  
Bahare Kiumarsi ◽  
Jialu Fan ◽  
Tianyou Chai ◽  
Jinna Li ◽  
...  

2010 ◽  
Vol 83 (5) ◽  
pp. 1009-1024 ◽  
Author(s):  
Xile Wei ◽  
Meili Lu ◽  
Jiang Wang ◽  
K.M. Tsang ◽  
Bin Deng ◽  
...  

Automatica ◽  
2020 ◽  
Vol 112 ◽  
pp. 108672 ◽  
Author(s):  
Adedapo Odekunle ◽  
Weinan Gao ◽  
Masoud Davari ◽  
Zhong-Ping Jiang

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1443
Author(s):  
Yuedou Pan ◽  
Mengtong Pei ◽  
Li Li ◽  
Yanrong Lu

This paper investigates the preview tracking problem for discrete-time multirate systems under the scenario of the external signals with amplitude non-attenuation. Since the input and the state cannot be measured at the same time, the multirate system is first lifted into the single-rate system. Noting that the external signals are previewable and their amplitudes are unattenuated, an auxiliary system with preview information and a dynamic compensator with internal model are introduced, respectively. On this basis, the preview tracking problem can be converted to the output regulation problem of an augmented system with the aid of the state augmentation technique. Through verifying the solvability of the output regulation problem, the sufficient conditions and the corresponding controller with preview action and feedforward compensation are presented for the output regulation problem as well as the original problem. Finally, a numeric simulation result is provided to verify the validity of the proposed method.


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