Data-driven models for short-term thermal behaviour prediction in real buildings
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.05.015
Abstract: Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building… read more here.
Keywords: driven models; data driven; less prediction; short term ... See more keywords
On Relaxing the N-Reachability Implicit Requirement in NMPC Design
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2025.3582951
Abstract: This letter proposes a proof of stability for Model Predictive Control formulations involving a prediction horizon that might be too short to meet the reachability condition generally invoked as a sufficient condition for closed-loop stability.… read more here.
Keywords: implicit requirement; relaxing reachability; reachability; condition ... See more keywords
Event-Triggered Distributed MPC With Variable Prediction Horizon
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3040355
Abstract: This article presents an event-triggered distributed model predictive control with variable prediction horizon strategy for spatially interconnected systems with input and state constraints. Each subsystem compares the error between actual state and optimal state with… read more here.
Keywords: triggered distributed; prediction horizon; variable prediction; prediction ... See more keywords
Sufficient Conditions for Convergent Recursive Extrapolation of qLPV Scheduling Parameters Along a Prediction Horizon
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3183534
Abstract: Model predictive control (MPC) algorithms have long been applied to nonlinear processes. In a quasi-linear parameter varying (qLPV) setting, nonlinearities are included into bounded scheduling parameters, which are given as a function of endogenous variables;… read more here.
Keywords: scheduling parameters; prediction horizon; parameters along; extrapolation ... See more keywords
K-Best Sphere Decoding Algorithm for Long Prediction Horizon FCS-MPC
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3104600
Abstract: Finite control set model predictive control (FCS-MPC) strategies for power conversion devices benefit from extending the prediction horizon length. Solving this problem relies on the definition of the underlying integer least-squares problem. Sphere decoding algorithm… read more here.
Keywords: sda; fcs mpc; prediction horizon;
Hybrid Sphere Decoder for Long Prediction Horizon FCS-MPC
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3194587
Abstract: In finite control set model predictive control strategies, extending the prediction horizon length provides important closed-loop performance improvements. However, the computational costs are increased in exponential fashion. Transforming the problem to an equivalent box-constrained integer… read more here.
Keywords: sphere decoder; conventional sda; prediction horizon;
SM Load Torque Observer-Based FCS-MPDSC With Single Prediction Horizon for High Dynamics of Surface-Mounted PMSM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2019.2929714
Abstract: In order to enhance the dynamic performance of surface-mounted permanent magnet synchronous machines (PMSMs), this letter proposes an improved finite control set (FCS) model predictive direct speed control (MPDSC) strategy that only contains one speed… read more here.
Keywords: mpdsc; load torque; control; prediction horizon ... See more keywords
Disturbance Rejection Self-Triggered Distributed MPC With Adaptive Prediction Horizon for Asynchronous Multiagent Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3350157
Abstract: This article proposes a disturbance-observer-based self-triggered distributed model predictive control (DSDMPC) algorithm with an adaptive prediction horizon mechanism for discrete-time nonlinear multiagent systems (MASs) with disturbances and system constraints. First, decentralized discrete-time nonlinear disturbance observers… read more here.
Keywords: disturbance; adaptive prediction; self triggered; prediction horizon ... See more keywords
An adaptive-prediction-horizon model prediction control for path tracking in a four-wheel independent control electric vehicle
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/0954407018821527
Abstract: An adaptive-prediction-horizon model prediction control-based path tracking controller for a four-wheel independent control electric vehicle is designed. Unlike traditional model prediction control with fixed prediction horizon, this paper devotes to satisfy the varied path tracking… read more here.
Keywords: model prediction; control; vehicle; prediction ... See more keywords