Stochastic high-order internal model-based adaptive TILC with random uncertainties in initial states and desired reference points-Reference-Cited by-同舟云学术

Stochastic high-order internal model-based adaptive TILC with random uncertainties in initial states and desired reference points

Author:

Chi Ronghu¹,Lin Na¹,Zhang Ruikun²,Huang Biao³,Feng Yuanjing⁴

Affiliation:

1. College of Automation and Electronics Engineering; Qingdao University of Science and Technology; Qingdao 266042 China

2. School of Mathematics and Physics; Qingdao University of Science and Technology; Qingdao 266042 China

3. Department of Chemical and Materials Engineering; University of Alberta; Edmonton T6G 2G6 AB Canada

4. School of Information Engineering; Zhejiang University of Technology; Hangzhou 310023 China

Funder

National Natural Science Foundation of China

Taishan Scholar program of Shandong Province of China

High Education Science & Technology Fund Planning Project of Shandong Province of China

Alberta Innovates - Technology Futures

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

Reference31 articles.

1. Bettering operation of robots by learning;Arimoto;Journal of Robotic Systems,1984

Cited by 12 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

2. Introduction;Intelligent Control and Learning Systems;2022