Patent
Model predictive control
James W. Fuller
- 14 Jul 2004
133
TL;DR: An efficient method for solving a model predictive control problem is described in this paper, in which a large sparse matrix equation is formed based upon the model predictive controller problem, and the square root of H, Hr is then formed directly, without first forming H.
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Abstract: An efficient method for solving a model predictive control problem is described. A large sparse matrix equation is formed based upon the model predictive control problem. The square root of H, Hr, is then formed directly, without first forming H. A square root (LSMroot) of a large sparse matrix of the large sparse matrix equation is then formed using Hr in each of a plurality of iterations of a quadratic programming solver, without first forming the large sparse matrix and without recalculating Hr in each of the plurality of iterations. The solution of the large sparse matrix equation is completed based upon LSMroot.
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Citations
Efficiently solving the harmonic model predictive control formulation
Pablo Krupa,Daniel Limon,Alberto Bemporad,Teodoro Alamo +3 more
- 14 Feb 2022
TL;DR: In this paper , the authors present a method for dealing with second order cone constraints in operator splitting methods, leading to a computation time for solving HMPC in line with state-of-the-art solvers for linear MPC.
Algorithms of reduced complexity to design control sequences for untimed Petri nets in varying and uncertain environments
Dimitri Lefebvre
- 11 May 2018
TL;DR: The main application concerns deadlock-free scheduling problems in the domain of flexible manufacturing systems, but the approach is also applicable for systems in computer science and transportation.
2
Predictive Control of a Real Residential Heating System with Short-Term Solar Power Forecast
Oscar Villegas Mier,Anna Dittmann,Wiebke Herzberg,Holger Ruf,Elke Lorenz,Michael Schmidt,Rainer Gasper +6 more
TL;DR: The implementation of predictive controls for a heat pump with thermal storage in a real single-family house with a photovoltaic rooftop system using a novel cloud camera-based short-term solar energy prediction and an intraday prediction system that includes additional data sources is presented.
2
Model predictive control of a soft elbow exosuit reduces interaction torque
TL;DR: In this paper , a model predictive controller (MPC) is proposed to predict future interaction conflicts between the wearer and exosuit assistance in order to preemptively reduce this interaction torque to provide assistance in line with intentions.
1
Learning-based robust model predictive control with data-driven Koopman operators
TL;DR: This paper extends the proposed rKMPC framework to a Koopman operator-based reduced-order model, thereby achieving the nonlinear control using only a few given inputs and presents a hierarchical neural network approach to approximate the finite-dimensional Koop man operator representations.
1
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