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Collaborative learning model predictive control for repetitive tasks
This paper presents a cloud-based learning model predictive controller that integrates three interacting components: a set of agents, which must learn to perform a finite set of tasks with the minimum possible local cost; a coordinator, which assigns the tasks to the agents; and the cloud, which stores data to facilitate the agents' learning.
A Topology-Switching Coalitional Control and Observation Scheme with Stability Guarantees
In this paper a coalitional control and observation scheme is presented in which the coalitions are changed online by enabling and disabling communication links.
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