Predictive control, embedded cyberphysical systems and systems of systems–A perspective
Today's world is changing rapidly due to advancements in information technology,
computation and communication. Actuation, communication, sensing, and control are …
computation and communication. Actuation, communication, sensing, and control are …
Optimized FPGA implementation of model predictive control for embedded systems using high-level synthesis tool
Model predictive control (MPC) is an optimization-based strategy for high-performance
control that is attracting increasing interest. While MPC requires the online solution of an …
control that is attracting increasing interest. While MPC requires the online solution of an …
Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems
MB Özmeteler, D Bilgic, G Pan, A Koch… - European Journal of …, 2024 - Elsevier
Stochastic predictive control schemes that account for epistemic and aleatoric uncertainties,
ie lack of model knowledge and stochastic disturbances, are of major interest for multi …
ie lack of model knowledge and stochastic disturbances, are of major interest for multi …
[PDF][PDF] Code generation for model predictive control of embedded systems
JPM Zometa - 2017 - opendata.uni-halle.de
Despite many conceptual and theoretical advances, the systematic use of advanced control
approaches for constrained system in industrial applications is still limited [1]. Often simpler …
approaches for constrained system in industrial applications is still limited [1]. Often simpler …
Reducing conservatism in stochastic model predictive blending multiple control gains
M Kögel, R Findeisen - 2021 American Control Conference …, 2021 - ieeexplore.ieee.org
Many stochastic model predictive control approaches use a fixed, virtual linear feedback law
in the prediction to counteract noise. The feedback allows to reduce the error between a …
in the prediction to counteract noise. The feedback allows to reduce the error between a …