研究论文
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator
Hongfeng Tao, Yuan R. Huang, Tao Liu, Wojciech Paszke
Jiangnan University Dalian University of Technology University of Zielona Góra
来源Journal of Process Control
年份2025
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工程Iterative Learning Control Systems
Reinforcement Learning in Robotics · Advanced Control Systems Optimization
参考文献 43
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
被引 1,949Matthew O. Williams, Ioannis G. Kevrekidis, Clarence W. Rowley · Journal of Nonlinear Science · 2015
A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes
被引 80Tao Liu, Youqing Wang · Automatica · 2012
Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term
被引 141Ruoxia Li, Jinde Cao · Applied Mathematics and Computation · 2016
此处列出前 3 条
引用本文 8
Leveraging Generative AI and Large Language Model for Process Systems Engineering: A State-of-the-Art Review
被引 17TaeYong Woo, SangYoun Kim, Shahzeb Tariq · Korean Journal of Chemical Engineering · 2025
Control based on the Koopman operator: A comprehensive review
被引 12Juan Francisco Durán-Siguenza, Luis I. Minchala, Luis E. Garza-Castañón · Journal of the Franklin Institute · 2025
Density‐Weighted Similarity Label Distribution With Dual‐Boundary SVDD for Multi‐Modal Intermittent Process Soft‐Sensing
被引 3Feixiang Huang · Quality and Reliability Engineering International · 2025
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