Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control.

IEEE Robotics and Automation Letters(2019)

Cited 8|Views17
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Abstract
Patients with low back pain are suggested to follow a protective coping strategy. Therefore, rehabilitation of these patients requires estimating their motor control strategies (the control intent). In this letter, we present an approach that infers the control intent by solving an inverse Model Predictive Control (iMPC) problem. The standard Model Predictive Control (MPC) structure includes const...
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Key words
Motor drives,Robots,Optimization,Predictive control,Task analysis,Optimal control,Muscles
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