Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control
Optimization-based approaches such as Model Predictive Control (MPC) are promising approaches in proactive control for safety-critical applications with changing environments such as automated driving systems. However, t…
Computational EfficiencyFrictionModel Predictive ControlEfficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem
Despite the extensive application of nonlinear Model Predictive Control (MPC) in automated driving, balancing its computational efficiency with respect to the control performance and constraint satisfaction remains a cha…
Computational EfficiencyModel Predictive ControlOptimal Control of Grid-Interfacing Inverters With Current Magnitude Limits
Grid-interfacing inverters act as the interface between renewable resources and the electric grid, and have the potential to offer fast and programmable controls compared to synchronous generators. With this flexibility …
Model Predictive ControlData-Driven Min-Max MPC for Linear Systems
Designing data-driven controllers in the presence of noise is an important research problem, in particular when guarantees on stability, robustness, and constraint satisfaction are desired. In this paper, we propose a da…
Model Predictive ControlNonlinear MPC design for incrementally ISS systems with application to GRU networks
This brief addresses the design of a Nonlinear Model Predictive Control (NMPC) strategy for exponentially incremental Input-to-State Stable (ISS) systems. In particular, a novel formulation is devised, which does not nec…
Model Predictive ControlAdaptive Output-Feedback Model Predictive Control of Hammerstein Systems with Unknown Linear Dynamics
This paper considers model predictive control of Hammerstein systems, where the linear dynamics are a priori unknown and the input nonlinearity is known. Predictive cost adaptive control (PCAC) is applied to this system …
Model Predictive ControlEnhanced Frequency Containment Reserve Provision from Battery Hybridized Hydropower Plants: Theory and Experimental Validation
This paper presents a solution to address wear and tear of Run-of-River (RoR) Hydropower Plants (HPPs) providing enhanced Frequency Containment Reserve (FCR). In this respect, the study proposes the integration of a Batt…
Model Predictive ControlLearning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis
This paper studies uncertainty set estimation for unknown linear systems. Uncertainty sets are crucial for the quality of robust control since they directly influence the conservativeness of the control design. Departing…
Model Predictive ControlData-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis
We have devised a data-driven framework for uncovering hidden control strategies used by an evolutionary system described by an evolutionary probability distribution. This innovative framework enables deciphering of the …
DescriptiveModel Predictive ControlEfficient Recursive Data-enabled Predictive Control (Extended Version)
In the field of model predictive control, Data-enabled Predictive Control (DeePC) offers direct predictive control, bypassing traditional modeling. However, challenges emerge with increased computational demand due to re…
FormModel Predictive ControlRobust Adaptive MPC Using Uncertainty Compensation
This paper presents an uncertainty compensation-based robust adaptive model predictive control (MPC) framework for linear systems with both matched and unmatched nonlinear uncertainties subject to both state and input co…
Model Predictive ControlAdaptive Model Predictive Control for Engine-Driven Ducted Fan Lift Systems using an Associated Linear Parameter Varying Model
Ducted fan lift systems (DFLSs) powered by two-stroke aviation piston engines present a challenging control problem due to their complex multivariable dynamics. Current controllers for these systems typically rely on pro…
modelModel Predictive ControlRegret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
We analyse the conservatism and regret of distributionally robust (DR) stochastic model predictive control (SMPC) when using moment-based ambiguity sets for modeling unknown uncertainties. To quantify the conservatism, w…
Model Predictive ControlMulti-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
Learning-based controllers have demonstrated superior performance compared to classical controllers in various tasks. However, providing safety guarantees is not trivial. Safety, the satisfaction of state and input const…
Model Predictive ControlOffline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Selection of Methodological Approaches and Their Application
Control and state estimation procedures need to be robust against imprecisely known parameters, uncertainty in initial conditions, and external disturbances. Interval methods and other set-based techniques form the basis…
Fault DiagnosisModel Predictive ControlState EstimationOutput-Feedback Nonlinear Model Predictive Control with Iterative State- and Control-Dependent Coefficients
By optimizing the predicted performance over a receding horizon, model predictive control (MPC) provides the ability to enforce state and control constraints. The present paper considers an extension of MPC for nonlinear…
FormModel Predictive ControlParameter-Varying Koopman Operator for Nonlinear System Modeling and Control
This paper proposes a novel approach for modeling and controlling nonlinear systems with varying parameters. The approach introduces the use of a parameter-varying Koopman operator (PVKO) in a lifted space, which provide…
Model Predictive ControlImplicit Incorporation of Heuristics in MPC-Based Control of a Hydrogen Plant
The replacement of fossil fuels in combination with an increasing share of renewable energy sources leads to an increased focus on decentralized microgrids. One option is the local production of green hydrogen in combina…
energy managementManagementModel Predictive ControlvalidIntegrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels
Railway running gears with independently rotating wheels (IRW) can significantly improve wear figures, comfort, and safety in railway transportation, but certain measures for wheelset stabilization are required. This is …
Model Predictive ControlActively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
In this paper we propose a framework towards achieving two intertwined objectives: (i) equipping reinforcement learning with active exploration and deliberate information gathering, such that it regulates state and param…
Model Predictive Controlreinforcement-learningReinforcement Learning