Adaptive control for uncertain dynamical systems with nonlinear reference systems

2020 ◽  
Vol 51 (4) ◽  
pp. 687-703
Author(s):  
Benjamin C. Gruenwald ◽  
Tansel Yucelen ◽  
Gerardo De La Torre ◽  
Jonathan A. Muse
Keyword(s):  
Adaptive Control ◽  
Dynamical Systems ◽  
Reference Systems ◽  
Uncertain Dynamical Systems

Adaptive Control of Nonlinear Uncertain Dynamical Systems

1997 ◽  
Vol 123 (11) ◽  
pp. 1161-1169 ◽  
Author(s):  
R. Ghanem ◽  
M. Bujakov ◽  
K. Torikoshi ◽  
H. Itoh ◽  
T. Inazuka ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Dynamical Systems ◽  
Uncertain Dynamical Systems

scholarly journals Strategic exploration in human adaptive control

2017 ◽  
Author(s):  
Eric Schulz ◽  
Edgar D. Klenske ◽  
Neil R. Bramley ◽  
Maarten Speekenbrink
Keyword(s):  
Adaptive Control ◽  
Reinforcement Learning ◽  
Dynamical Systems ◽  
Current Knowledge ◽  
Control Task ◽  
Learning Paradigm ◽  
Uncertain Dynamical Systems ◽  
High Reward

AbstractHow do people explore in order to gain rewards in uncertain dynamical systems? Within a reinforcement learning paradigm, control normally involves trading off between exploration (i.e. trying out actions in order to gain more knowledge about the system) and exploitation (i.e. using current knowledge of the system to maximize reward). We study a novel control task in which participants must steer a boat on a grid, aiming to follow a path of high reward whilst learning how their actions affect the boat’s position. We find that participants explore strategically yet conservatively, exploring more when mistakes are less costly and practicing actions that will be required later on.

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