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[HTML][HTML] Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value
This paper presents an Energy Management (EM) strategy for residential microgrid systems
using Model Predictive Control (MPC)-based Reinforcement Learning (RL) and Shapley …
using Model Predictive Control (MPC)-based Reinforcement Learning (RL) and Shapley …
Intelligent computational techniques for physical object properties discovery, detection, and prediction: A comprehensive survey
The exploding usage of physical object properties has greatly facilitated real-time
applications such as robotics to perceive exactly as it appears in existence. Changes in the …
applications such as robotics to perceive exactly as it appears in existence. Changes in the …
Data Science and Model Predictive Control:: A survey of recent advances on data-driven MPC algorithms
Abstract Model Predictive Control (MPC) is an established control framework, based on the
solution of an optimisation problem to determine the (optimal) control action at each discrete …
solution of an optimisation problem to determine the (optimal) control action at each discrete …
Learning‐based model predictive control under value iteration with finite approximation errors
This paper proposes a novel learning‐based model predictive control (LMPC) scheme for
discrete‐time nonlinear systems. It overcomes the challenge of manually designing the …
discrete‐time nonlinear systems. It overcomes the challenge of manually designing the …
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion
V Kovalev, A Shkromada, H Ouerdane… - arxiv preprint arxiv …, 2023 - arxiv.org
Stable gait generation is a crucial problem for legged robot locomotion as this impacts other
critical performance factors such as, eg mobility over an uneven terrain and power …
critical performance factors such as, eg mobility over an uneven terrain and power …
Theoretical Properties of Learning-based Model Predictive Control
AB Kordabad - 2023 - ntnuopen.ntnu.no
Recently, the core idea of using Model Predictive Control (MPC) as a function approximator
for the Reinforcement Learning (RL) methods has been proposed and justified. More …
for the Reinforcement Learning (RL) methods has been proposed and justified. More …
Reinforcement Learning-based Control and State Estimation using Model Predictive Control and Moving Horizon Estimation
HN Esfahani - 2024 - ntnuopen.ntnu.no
A new Reinforcement Learning (RL) algorithm based on Model Predictive Control (MPC)
has been recently proposed in which the optimal state (-action) value function and the …
has been recently proposed in which the optimal state (-action) value function and the …
Docking of an Underactuated ASV using Reinforcement Learning-based NMPC
AB Rambech - 2024 - ntnuopen.ntnu.no
Å legge til kai med en autonom overflate-farkost (AOF)(eng: autonomous surface vessel) har
fått større oppmerksomhet i senere år. Bruken av forsterket læring (FL)(eng: reinforcement …
fått større oppmerksomhet i senere år. Bruken av forsterket læring (FL)(eng: reinforcement …
Engineering Applications of Model Predictive Control-based Reinforcement Learning
W Cai - 2024 - ntnuopen.ntnu.no
Model Predictive Control (MPC) has emerged as a highly influential control strategy,
leveraging models of real system dynamics to generate input-state sequences that minimize …
leveraging models of real system dynamics to generate input-state sequences that minimize …
[CITA][C] 근접 정책 최적화를 통한 드론 자율운항 모델예측제어 알고리즘의 고도화
강남욱， 윤우승， 한경림 - 한국통신학회 인공지능 학술대회 논문집, 2024 - dbpia.co.kr
요 약최근 드론 제작 기술의 빠른 발전과 이에 따른 응용 분야의 확장은 기존에 사용되어 온
모델 예측 제어 (MPC) 나 비례-적분-미분 제어 (PID) 기반 운항 알고리즘의 고도화를 요구한다 …
모델 예측 제어 (MPC) 나 비례-적분-미분 제어 (PID) 기반 운항 알고리즘의 고도화를 요구한다 …