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Prediction Mismatch in Distributed Model Predictive Control
2020 European Control Conference (ECC), 2020This paper addresses the topic of prediction mismatch for distributed model predictive control. Based on a simple scenario the problem is illustrated for a small group of agents with obstacles in simulation studies. A novel approach based on external soft constraints is presented and shown in the simulated scenario to recover feasibility that was ...
Kloock, Christine, Werner, Herbert
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Model Predictive Control Tuning by Controller Matching
IEEE Transactions on Automatic Control, 2010The effectiveness of model predictive control (MPC) in dealing with input and state constraints during transient operations is well known. However, in contrast with several linear control techniques, closed-loop frequency-domain properties such as sensitivities and robustness to small perturbations are usually not taken into account in the MPC design ...
Di Cairano, Stefano, Bemporad, Alberto
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A multirate model-based predictive controller
IEEE Transactions on Automatic Control, 1995Model based predictive control (MBPC) is an emerging design tool in process control, thanks to its capability to incorporate several attributes fundamental in practical applications. On the other hand, multirate control systems are able to describe various practical situations, where technological constraints require that sensor measurements and ...
SCATTOLINI, RICCARDO +1 more
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A Prediction-Correction Method for Model Predictive Control
2018 Annual American Control Conference (ACC), 2018In this work we adapt a prediction-correction algorithm for continuous time-varying convex optimization problems to solve dynamic programs arising from Model Predictive Control (MPC). The algorithm proposed is computationally efficient since it finds an approximate solution of the problem with only two Hessian inversions per iteration. The error in the
Santiago Paternain +2 more
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Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control
IEEE/CAA Journal of Automatica Sinica, 2022Shen Li 0001 +2 more
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Fuzzy predictive filters in model predictive control
IEEE Transactions on Industrial Electronics, 1999The application of model predictive control (MPG) to complex, nonlinear processes results in a nonconvex optimization problem for computing the optimal control actions. This optimization problem can be addressed by discrete search techniques, such as the branch-and-bound method, which has been successfully applied to MPG.
João Miguel da Costa Sousa +1 more
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Internal model predictive control (IMPC)
Automatica, 1995A computationally simple model predictive control algorithm incorporates the attractive features of the internal model control (IMC) law. The algorithm first computes the IMC control effort via a model state feedback implementation which automatically compensates for past control effort saturation.
Eric Coulibaly +2 more
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Fundamentals of economic model predictive control
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012The goal of most current advanced control systems is to guide a process to a target setpoint rapidly and reliably. Model predictive control has become a popular technology in many applications because it can handle large, multivariable systems subject to hard constraints on states and inputs.
Rawlings, James B. +2 more
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Hierarchical Model Predictive Control of Wiener Models
2009A hierarchical two-layer control structure is designed with robust Model Predictive Control. The system at the upper level is described by a Wiener model, while the systems at the lower level, which represent the fast actuators dynamics, are described by general nonlinear models.
PICASSO, BRUNO +2 more
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Robust Model-Predictive Control
2013Model predictive control (MPC) is indisputably one of the rare modern control techniques that has significantly affected control engineering practice due to its unique ability to systematically handle constraints and optimize performance. Robust MPC (RMPC) is an improved form of the conventional MPC that is intrinsically robust in the face of ...
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