M. Hashemy

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— In this work, we propose to expand the application of model predictive control (MPC) to problems in which there are human agents involved in the sensing and actuation processes. To this end, a new configuration of a control system structure that combines centralized predictive control and local operations is presented. Additional constraints are included(More)
One of the challengeable topics in motor learning is how to determine which tasks are more complex than other tasks, and the methods are used for this purpose are not very efficient. The purpose of this research was to study the efficiency regarding the number of practice trials to determine the rate of task complexity. In this study, sixty subjects(More)
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