Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
An interpretative and adaptive MPC for nonlinear systems
Model predictive control (MPC) for nonlinear systems suffers a trade-off between the model accuracy and real-time computational burden. One widely used approximation method is the successive linearization MPC (SL-MPC) wi…
C++ codeModel Predictive ControlA rapid-prototype MPC tool based on gPROMS platform
This paper presents a rapid-prototype Model Predictive Control (MPC) tool based on the gPROMS platform, with the support for the whole MPC design workflow. The gPROMS-MPC tool can not only directly interact with a first-…
C++ codeCode GenerationModel Predictive ControlData-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach
This paper presents a distributed data-driven control to regulate the voltage in an alternate current microgrid (MG). Following the hierarchical control frame for MGs, a secondary control for voltage is designed with a d…
Model Predictive ControlReal-Time Distributed Model Predictive Control with Limited Communication Data Rates
The application of distributed model predictive controllers (DMPC) for multi-agent systems (MASs) necessitates communication between agents, yet the consequence of communication data rates is typically overlooked. This w…
Distributed OptimizationModel Predictive ControlQuantizationData-driven Predictive Tracking Control based on Koopman Operators
Constraint handling during tracking operations is at the core of many real-world control implementations and is well understood when dynamic models of the underlying system exist, yet becomes more challenging when data-d…
Model Predictive ControlAdjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model
Wind farm flow control aims to improve wind turbine performance by reducing aerodynamic wake interaction between turbines. Dynamic, physics-based models of wind farm flows have been essential for exploring control strate…
Model Predictive ControlA Consistency Constraint-Based Approach to Coupled State Constraints in Distributed Model Predictive Control
In this paper, we present a distributed model predictive control (DMPC) scheme for dynamically decoupled systems which are subject to state constraints, coupling state constraints and input constraints. In the proposed c…
Model Predictive ControlA Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station
The large adoption of EVs brings practical interest to the operation optimization of the charging station. The joint scheduling of pricing and charging control will achieve a win-win situation both for the charging stati…
Model Predictive ControlSchedulingComputationally Efficient Robust Model Predictive Control for Uncertain System Using Causal State-Feedback Parameterization
This paper investigates the problem of robust model predictive control (RMPC) of linear-time-invariant (LTI) discrete-time systems subject to structured uncertainty and bounded disturbances. Typically, the constrained RM…
Model Predictive ControlConsiderate and Cooperative Model Predictive Control for Energy-Efficient Truck Platooning of Heterogeneous Fleets
Connectivity-enabled automation of distributed control systems allow for better anticipation of system disturbances and better prediction of the effects of actuator limitations on individual agents when incorporating a m…
Model Predictive ControlDifferentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
We develop a novel form of differentiable predictive control (DPC) with safety and robustness guarantees based on control barrier functions. DPC is an unsupervised learning-based method for obtaining approximate solution…
FormModel Predictive ControlCompositional Synthesis for Linear Systems via Convex Optimization of Assume-Guarantee Contracts
We take a divide and conquer approach to design controllers for reachability problems given large-scale linear systems with polyhedral constraints on states, controls, and disturbances. Such systems are made of small sub…
Model Predictive ControlKoopman Form of Nonlinear Systems with Inputs
The Koopman framework proposes a linear representation of finite-dimensional nonlinear systems through a generally infinite-dimensional globally linear embedding. Originally, the Koopman formalism has been derived for au…
FormModel Predictive ControlThe Unscented Transform Controller: a new model predictive control law for highly nonlinear systems
The Unscented Transform which is the basis of the Unscented Kalman Filter, UKF, is used here to develop a novel predictive controller for non-linear plants, called the Unscented Transform Controller, UTC. The UTC can be …
Model Predictive ControlDetection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation
In distributed predictive control structures, communication among agents is required to achieve a consensus and approach an optimal global behavior. Such negotiation mechanisms are sensitive to attacks on these exchanges…
Model Predictive ControlOptimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging
The paper presents a movement strategy for Connected and Automated Vehicles (CAVs) in a lane-free traffic environment with vehicle nudging by use of an optimal control approach. State-dependent constraints on control inp…
Model Predictive ControlTrajectory PlanningOnline Dynamics Learning for Predictive Control with an Application to Aerial Robots
In this work, we consider the task of improving the accuracy of dynamic models for model predictive control (MPC) in an online setting. Although prediction models can be learned and applied to model-based controllers, th…
Model Predictive ControlTransfer LearningReconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking
A plug-and-play model predictive control (PnP MPC) scheme is proposed for varying-topology networks to track piecewise constant references. The proposed scheme allows subsystems to occasionally join and leave the network…
Model Predictive ControlOnline Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking
A distributed model predictive control scheme is developed for tracking piecewise constant references where the terminal set is reconfigured online, whereas the terminal controller is computed offline. Unlike many standa…
Distributed OptimizationModel Predictive ControlNonlinear Model Predictive Control Framework For Cooperative Three-Agent Target Defense Game
This paper presents cooperative target defense guidance strategies using nonlinear model predictive control (NMPC) framework for a target-attacker-defender (TAD) game. The TAD game consists of an attacker and a cooperati…
Model Predictive Control