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In this paper, a distributed version is proposed to deal with network systems featuring multiple agents and limited communication. To solve the problem in a ...
Sep 13, 2021 · Abstract:Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation.
Abstract— Adaptive model predictive control. (MPC) robustly ensures safety while reducing uncertainty during operation. In this paper, a distributed version ...
In this work, we propose a distributed AMPC (DAMPC) algorithm suitable for control of interconnected networks. The key observation is that, for interconnected ...
Sep 5, 2024 · In this paper, a distributed version is proposed to deal with network systems featuring multiple agents and limited communication. To solve the ...
Dec 14, 2021 · In this paper, a distributed version is proposed to deal with network systems featuring multiple agents and limited communication. To solve the ...
Bibliographic details on A distributed framework for linear adaptive MPC.
This is a well-known issue in MPC literature 5 , which has been studied under the fields of robust and stochastic MPC 6 . Because these techniques provide ...
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The distributed model predictive control (dMPC) provides a computationally efficient framework for designing controllers for a large dimensional plant.
We develop a distributed economic model predictive control (MPC) scheme with generalized terminal constraints and self-tuning terminal weights for multi-agent ...