A Simple Model-Based Deadbeat Direct-Current and Flux Linkage Control Scheme for Sensorless SPMSM Drive

2021 ◽  
Author(s):  
That-Dong Ton ◽  
Min-Fu Hsieh
Keyword(s):  
Simple Model ◽  
Direct Current ◽  
Flux Linkage ◽  
Model Based ◽  
Control Scheme

A novel R-Q model based rate control scheme in HEVC

2013 ◽  
Author(s):  
Xiaochuan Liang ◽  
Qiang Wang ◽  
Yinhe Zhou ◽  
Binji Luo ◽  
Aidong Men
Keyword(s):  
Rate Control ◽  
Model Based ◽  
Control Scheme ◽  
Q Model

A numerical and experimental study of a simple model-based predictive control strategy in a perimeter zone with phase change material

2018 ◽  
Vol 24 (9) ◽  
pp. 933-944 ◽  
Author(s):  
Anastasios C. Papachristou ◽  
Charalampos A. Vallianos ◽  
Vasken Dermardiros ◽  
Andreas K. Athienitis ◽  
JosÉ A. Candanedo
Keyword(s):  
Experimental Study ◽  
Simple Model ◽  
Phase Change ◽  
Phase Change Material ◽  
Predictive Control ◽  
Control Strategy ◽  
Model Based ◽  
Change Material

scholarly journals Learning to Coordinate Efficiently: A Model-based Approach

2003 ◽  
Vol 19 ◽  
pp. 11-23 ◽  
Author(s):  
R. I. Brafman ◽  
M. Tennenholtz
Keyword(s):  
Reinforcement Learning ◽  
Simple Model ◽  
Stochastic Games ◽  
Convergence Rates ◽  
Learning Algorithms ◽  
Common Interest ◽  
Model Based ◽  
Optimal Value ◽  
To Receive

In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the highest-possible value. A number of reinforcement learning algorithms have been proposed for this problem, and some have been shown to converge to good solutions in the limit. In this paper we show that using very simple model-based algorithms, much better (i.e., polynomial) convergence rates can be attained. Moreover, our model-based algorithms are guaranteed to converge to the optimal value, unlike many of the existing algorithms.

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