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.