Model predictive control ≈ Model predictive control
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Model Predictive Control for Power Converters and Drives: Advances and Trends Open
Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the curren…
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Stochastic Model Predictive Control: An Overview and Perspectives for Future Research Open
© 1991-2012 IEEE. Model predictive control (MPC) has demonstrated exceptional success for the high-performance control of complex systems [1], [2]. The conceptual simplicity of MPC as well as its ability to effectively cope with the compl…
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Learning-Based Model Predictive Control: Toward Safe Learning in Control Open
Recent successes in the field of machine learning, as well as the availability of increased sensing and computational capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Mo…
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Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Control Open
© 2018 IEEE. This paper presents an implementation of model predictive control (MPC) to determine ground reaction forces for a torque-controlled quadruped robot. The robot dynamics are simplified to formulate the problem as convex optimiza…
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Data-Driven Model Predictive Control With Stability and Robustness Guarantees Open
We propose a robust data-driven model predictive control (MPC) scheme to control linear time-invariant (LTI) systems. The scheme uses an implicit model description based on behavioral systems theory and past measured trajectories. In parti…
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Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities Open
In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in com…
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Cautious Model Predictive Control Using Gaussian Process Regression Open
ISSN:1063-6536
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A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems Open
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-critical systems, in which lots of sensors and actuators are embedded and networked together to facilitate real-time monitoring and closed-loop co…
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Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges Open
Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems. These can be classified into two maj…
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Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies Open
The application of model predictive control in electrical drives has been studied extensively in the past decade. This article presents what the authors consider the most relevant contributions published in the last years, mainly focusing …
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Learning-Based Model Predictive Control for Autonomous Racing Open
ISSN:2377-3766
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Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle Open
This paper presents a predictive energy management strategy for a parallel hybrid electric vehicle (HEV) based on velocity prediction and reinforcement learning (RL). The design procedure starts with modeling the parallel HEV as a systemat…
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Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control Open
Energy management is an enabling technology for increasing the economy of fuel cell/battery hybrid electric vehicles. Existing efforts mostly focus on optimization of a certain control objective (e.g., hydrogen consumption), without suffic…
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Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter Open
It is well known that predictive control methods can be affected by the presence of modeling errors. The extent to which finite-control-set model predictive control (FCS-MPC) is influenced by parametric uncertainties is a recurrent concern…
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Weighting Factor Design in Model Predictive Control of Power Electronic Converters: An Artificial Neural Network Approach Open
This paper proposes the use of an artificial neural network (ANN) for solving one of the ongoing research challenges in finite-set model predictive control (FS-MPC) of power electronics converters, i.e. the automated selection of weighting…
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Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment Open
This paper describes a concept for a collision avoidance system for ships, which is based on model predictive control. A finite set of alternative control behaviors are generated by varying two parameters: offsets to the guidance course an…
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Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods Open
This paper presents the application of Model Predictive Control (MPC) in high-performance drives. A wide variety of machines have been considered: induction machines, synchronous machines, linear motors, switched reluctance motors, and mul…
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Safe Reinforcement Learning Using Robust MPC Open
Reinforcement Learning (RL) has recently impressed the world with stunning\nresults in various applications. While the potential of RL is now\nwell-established, many critical aspects still need to be tackled, including\nsafety and stabilit…
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Finite-Set Model-Predictive Control Strategies for a 3L-NPC Inverter Operating With Fixed Switching Frequency Open
In this paper, finite-set model-predictive control (FS-MPC) methodologies for a grid-connected three-level neutral-point-clamped converter are investigated. The proposed control strategies produce fixed switching frequency, maintaining all…
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Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control Open
Field oriented control (FOC), direct torque control (DTC) and finite set model predictive control (FS-MPC) are different strategies for high performance electrical drive systems. FOC uses linear controllers and pulse width modulation (PWM)…
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Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds Open
ISSN:2377-3766
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A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control Open
This paper presents a new and very simple strategy for torque and flux control of ac machines. The method is based on model predictive control and uses one cost function for the torque and a separate cost function for the flux. This strate…
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Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning Open
We show that artificial neural networks with rectifier units as activation functions can exactly represent the piecewise affine function that results from the formulation of model predictive control (MPC) of linear time-invariant systems. …
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Model Predictive Control of Bidirectional DC–DC Converters and AC/DC Interlinking Converters—A New Control Method for PV-Wind-Battery Microgrids Open
In renewable energy systems, fluctuating outputs from energy sources and variable power demand may deteriorate the voltage quality. In this paper, a model predictive control strategy without using any proportional-integral-derivative (PID)…
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Model Predictive Control of Six-Phase Induction Motor Drives Using Virtual Voltage Vectors Open
The most serious and recent competitor to the standard field oriented control for induction motors (IM) is the finite control set model predictive control (FCS-MPC). Nevertheless, the extension to multiphase drives faces the impossibility …
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Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies Open
Physics-based predictive simulations of human movement have the potential to support personalized medicine, but large computational costs and difficulties to model control strategies have limited their use. We have developed a computationa…
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A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control Open
Buildings account for a substantial proportion of global energy consumption and global greenhouse gas emissions. Given the growth in smart devices and sensors there is an opportunity to develop a new generation of smarter, more context awa…
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Robustness Improvement of Predictive Current Control Using Prediction Error Correction for Permanent-Magnet Synchronous Machines Open
The predictive control method deals with the prediction of the motor behavior based on a mathematical model of the motor. This model is dependent on the motor parameters. However, these parameters may not match with their actual values due…
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Cooperative MPC-Based Energy Management for Networked Microgrids Open
Microgrids are subsystems of the distribution grid operating as a single controllable system either connected or isolated from the grid. In this study, a novel cooperative model predictive control (MPC) framework is proposed for networks o…
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A Simplified Finite-State Predictive Direct Torque Control for Induction Motor Drive Open
© 2016 IEEE. Finite-state predictive torque control (FS-PTC) is computationally expensive, since it uses all voltage vectors (VVs) available from a power converter for prediction and actuation. The computational burden is rapidly increased…