Guest Editorial - Special Issue on Intelligent Control through Neural Learning and Optimization for Human-Machine Hybrid Systems
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.
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
Electrical and Computer Engineering
Center for High Performance Computing Research
International Standard Serial Number (ISSN)
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Dec 2019