Guest Editorial - Special Issue on Intelligent Control through Neural Learning and Optimization for Human-Machine Hybrid Systems

Author

Wei He
Changyin Sun
Donald C. Wunsch, Missouri University of Science and TechnologyFollow
Richard Yi Da Xu

Abstract

With the rapid development of science and technology, in order to realize intelligent control for human—machine hybrid systems, research scholars have studied a large number of learning approaches. However, the problem that we need to further consider is ensuring the control stability while realizing the optimal performance of human-machine hybrid systems.

Recommended Citation

W. He et al., "Guest Editorial - Special Issue on Intelligent Control through Neural Learning and Optimization for Human-Machine Hybrid Systems," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3530 - 3533, Institute of Electrical and Electronics Engineers (IEEE), Dec 2019.

The definitive version is available at https://doi.org/10.1109/TNNLS.2019.2952699

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Center for High Performance Computing Research

International Standard Serial Number (ISSN)

2162-237X

Document Type

Editorial

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2019