Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-05909-8.pdf
Reference29 articles.
1. Bai W, Li T, Tong S (2020) NN reinforcement learning adaptive control for a class of nonstrict-feedback discrete-time systems. IEEE Trans Cybern. https://doi.org/10.1109/TCYB.2020.2963849
2. Song Z, Yang J, Mei X et al (2020) Deep reinforcement learning for permanent magnet synchronous motor speed control systems. Neural Comput Appl. https://doi.org/10.1007/s00521-020-05352-1
3. Khater A, El-Nagar A, El-Bardini M et al (2020) Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network. Neural Comput Appl 32(12):8691–8710. https://doi.org/10.1007/s00521-019-04372-w
4. Li H, Wu Y, Chen M (2020) Adaptive fault-tolerant tracking control for discrete-time multiagent systems via reinforcement learning algorithm. IEEE Trans Cybern. https://doi.org/10.1109/TCYB.2020.2982168
5. Vrabie D, Pastravanu O, Abu-Khalaf M et al (2009) Adaptive optimal control for continuous-time linear systems based on policy iteration. Automatica 45(2):477–484. https://doi.org/10.1016/j.automatica.2008.08.017
Cited by 10 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. Self-Learning Takagi–Sugeno Fuzzy Control With Application to Semicar Active Suspension Model;IEEE Transactions on Fuzzy Systems;2024-01
2. Nonlinearity compensation based robust tracking control of nonlinear nonminimum phase hypersonic flight vehicles;ISA Transactions;2022-12
3. Effect of state transition triggered by reinforcement learning in evolutionary prisoner’s dilemma game;Neurocomputing;2022-10
4. A promotive structural balance model based on reinforcement learning for signed social networks;Neural Computing and Applications;2022-06-27
5. Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning;Neural Computing and Applications;2022-06-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3