Linear Quadratic Gaussian using Kalman Network and Reinforcement Learning for Discrete-Time System-Reference-Cited by-同舟云学术

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Linear Quadratic Gaussian using Kalman Network and Reinforcement Learning for Discrete-Time System

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on System Engineering and Technology (ICSET)
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Author:

Putri Adi Novitarini¹,Machbub Carmadi¹,Mahayana Dimitri¹,Hidayat Egi M. Idris¹

Affiliation:

1. School of Electrical Engineering and Informatics, Institut Teknologi Bandung,Control and Computer System Research Group,Indonesia,40132

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010700/10010754/10010824.pdf?arnumber=10010824

Reference29 articles.

1. Linear quadratic tracking control of unknown discrete-time systems using value iteration algorithm

2. A direct derivation of the optimal linear filter using the maximum principle

3. Kalmannet: Data-Driven Kalman Filtering

4. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data

5. Combination of Elman Neural Network and Kalman Network for Modeling of Batch Distillation Process

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven Linear Quadratic Gaussian using LightGBM Algorithm for Batch Distillation Column;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

2. Data Driven Linear Quadratic Gaussian Control Design;IEEE Access;2023

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