Adaptive Dynamic Programming Control
연구주제 · Computational Theory and Mathematics
논문 (피인용 순)
| 연도 | 논문 | 학부 저자 | 피인용 |
|---|---|---|---|
| 2020 | A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system 화학공정 › 촉매/반응기술 Journal of Process Control | 이종민 | 60 |
| 2020 | Model‐based reinforcement learning for nonlinear optimal control with practical asymptotic stability guarantees 화학공정 › 촉매/반응기술 AIChE Journal | 이종민 | 20 |
| 2020 | Convergence analysis of the deep neural networks based globalized dual heuristic programming 화학공정 › 촉매/반응기술 Automatica | 이종민 | 13 |
| 2018 | Deep reinforcement learning based finite-horizon optimal tracking control for nonlinear system IFAC-PapersOnLine | 이종민 | 12 |
| 2023 | Integrating Path Integral Control With Backstepping Control to Regulate Stochastic System 화학공정 › 공정시스템기술 International Journal of Control Automation and Systems | 이종민 | 1 |
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동
이 문서와 연결된 페이지
교수 1
논문 5
Deep reinforcement learning based finite-horizon optimal tracking cont · Model‐based reinforcement learning for nonlinear optimal control with · Integrating Path Integral Control With Backstepping Control to Regulat · A model-based deep reinforcement learning method applied to finite-hor · Convergence analysis of the deep neural networks based globalized dual