Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems
In this paper, we leverage ideas from model-based control to address the sample efficiency problem of reinforcement learning (RL) algorithms. Accelerating learning is an active field of RL highly relevant in the context …
Model Predictive Controlreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1Robust MPC with Zone Tracking
We propose a robust nonlinear model predictive control design with generalized zone tracking (ZMPC) in this work. The proposed ZMPC has guaranteed convergence into the target zone in the presence of bounded disturbance. …
Model Predictive ControlOn the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Inexact methods for model predictive control (MPC), such as real-time iterative schemes or time-distributed optimization, alleviate the computational burden of exact MPC by providing suboptimal solutions. While the asymp…
Distributed OptimizationModel Predictive ControlAccelerating genetic optimization of nonlinear model predictive control by learning optimal search space size
Genetic algorithm (GA) is typically used to solve nonlinear model predictive control's optimization problem. However, the size of the search space in which the GA searches for the optimal control inputs is crucial for it…
Evolutionary AlgorithmsModel Predictive ControlHeterogeneous Unmanned Aerial Vehicles Cooperative Search Approach for Complex Environments
This paper studies a heterogeneous Unmanned Aerial Vehicles (UAVs) cooperative search approach suitable for complex environments. In the application, a fixed-wing UAV drops rotor UAVs to deploy the cluster rapidly. Meanw…
Collision AvoidanceDecision MakingModel Predictive ControlModel life extension for continuous process: Non-invasive correction of model-plant mismatch with regularization
In continuous process plants controlled by model predictive control, model-plant mismatch (MPM), due to the aging of processes, causes degradation of control performance. We propose a concept called Model Life Extension …
modelModel Predictive ControlModel Predictive Control of Smart Districts Participating in Frequency Regulation Market: A Case Study of Using Heating Network Storage
Flexibility provided by Combined Heat and Power (CHP) units in district heating networks is an important means to cope with increasing penetration of intermittent renewable energy resources, and various methods have been…
Model Predictive ControlConstrained reaction wheel desaturation and attitude control of spacecraft with four reaction wheels
The paper addresses a problem of constrained spacecraft attitude stabilization with simultaneous reaction wheel (RW) desaturation. The spacecraft has a reaction wheel array (RWA) consisting of four RWs in a pyramidal con…
Model Predictive ControlDistributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy
The close integration of increasing operating units into an integrated energy system (IES) results in complex interconnections between these units. The strong dynamic interactions create barriers to designing a successfu…
Decision MakingModel Predictive ControlConstruction of Control Barrier Functions Using Predictions with Finite Horizon
In this paper, we show that under mild controllability assumptions a time-invariant Control Barrier Function (CBF) can be constructed based on predictions with a finite horizon. As a starting point, we require only a kno…
Model Predictive ControlCausal, Stochastic MPC for Wave Energy Converters
We implement a causal model predictive control (MPC) strategy to maximize power generation from a wave energy converter (WEC) system, for which the power take-off (PTO) systems have both hard stroke (i.e., displacement) …
Model Predictive ControlFriction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles
This paper addresses the trajectory-tracking problem under uncertain road-surface conditions for autonomous vehicles. We propose a stochastic nonlinear model predictive controller (SNMPC) that learns a tire--road frictio…
Autonomous VehiclesFrictionModel Predictive ControlALADIN-based Distributed Model Predictive Control with dynamic partitioning: An application to Solar Parabolic Trough Plants
This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem…
ClusteringModel Predictive ControlEmulation Learning for Neuromimetic Systems
Building on our recent research on neural heuristic quantization systems, results on learning quantized motions and resilience to channel dropouts are reported. We propose a general emulation problem consistent with the …
Model Predictive ControlQuantizationTransfer LearningA comparison of methods to eliminate regularization weight tuning from data-enabled predictive control
Data-enabled predictive control (DeePC) is a recently established form of Model Predictive Control (MPC), based on behavioral systems theory. While eliminating the need to explicitly identify a model, it requires an addi…
Model Predictive ControlLSTM-based Preceding Vehicle Behaviour Prediction during Aggressive Lane Change for ACC Application
The development of Adaptive Cruise Control (ACC) systems aims to enhance the safety and comfort of vehicles by automatically regulating the speed of the vehicle to ensure a safe gap from the preceding vehicle. However, c…
Model Predictive ControlTutorial: Implementando Controladores Preditivos Não Lineares através do Ferramental LPV
Recent works have demonstrated how Linear Parameter Varying Model Predictive Control (LPV MPC) algorithms are able to control nonlinear systems with precision and reduced computational load. Specifically, these schemes a…
Model Predictive ControlModel Predictive Control of Wind Turbines with Piecewise-Affine Power Coefficient Approximation
In this paper, an offset-free bilinear model predictive control approach for wind turbines is presented. State-of-the-art controllers employ different control loops for pitch angle and generator torque which switch depen…
Model Predictive ControlDistributed Multi-Horizon Model Predictive Control for Network of Energy Hubs
The increasing penetration of renewable energy resources has transformed the energy system from traditional hierarchical energy delivery paradigm to a distributed structure. Such development is accompanied with continuou…
energy tradingModel Predictive ControlOn MPC-based Strategies for Optimal Voltage References in DC Microgrids
Modern power systems are characterized by low inertia and fast voltage dynamics due to the increase of sources connecting via power electronics and the removal of large traditional thermal generators. Power electronics a…
Model Predictive Control