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Found 8 papers, 0 papers with code
Adaptive Learning-based Model Predictive Control for Uncertain Interconnected Systems: A Set Membership Identification Approach
Set membership identification is used in the learning phase to learn an uncertainty set that contains the coupling strength using online data.
Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking
In the redesign phase, passivity-based control is used to ensure that asymptotic stability of the network is preserved.
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking
A distributed model predictive control scheme is developed for tracking piecewise constant references where the terminal set is reconfigured online, whereas the terminal controller is computed offline.
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
However, we also see that the physics-informed ARMAX models have a lower computational burden, and a superior sample efficiency compared to the Machine Learning based models.
A distributed framework for linear adaptive MPC
Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation.
Passivity-based Decentralized Control for Discrete-time Large-scale Systems
The controller is synthesized by locally solving a semidefinite program offline for each subsystem in a decentralized fashion.
Input Convex Neural Networks for Building MPC
We assess the consequences of the additional constraints for the model accuracy and test the models in a real-life MPC experiment in an apartment in Switzerland.
Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking
The proposed scheme is tested in simulation where the proposed MPC problem is solved using distributed optimization.
