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Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm
Published on: October 3, 2020
Risk aversion predictive control
G C Kember1, S E Mansour, R Dubay
1Department of Engineering Mathematics-Dalhousie University, P.O. box 1000, Halifax, NS, Canada B3J 2X4.
Abstract:
A quality-controlled predictive control method, suitable for control of fast, remote systems subject to significant communication delays, is developed. Each move is quality controlled in that it independently satisfies a risk-based control performance criterion. The method is found to be capable of mitigating the ill effects of highly nonstationary delay distributions while providing good control performance for milder nonstationarity. It is demonstrated on simplified predictive control (SPC) of a single-input, single-output process. SPC is preferred here due to its simplicity and well-conditioned dependence of both the sampling time and its single parameter.
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