Recently, Chen Qing, a young teacher of the School of Electrical Engineering of our university, has made important progress in the field of nonlinear system neural network self-adaptive control through team cooperation with internationally renowned scholars and Professor Song Yongduan of Chongqing University. The research results have been published inthe form of a long article by the top international journal《IEEE Transactions on Cybernetics》.

Neural networks have been widely used in the control of complex nonlinear systems because of their powerful adaptive learning ability. How to construct artificial neural networks with more biological neural network characteristics becomes the key in efforts to improve the performance of neural network control. By combining the adaptiveness of biological neurons and the complexity of the topological structure of biological neural networks, this paper constructs a highly nonlinear bionic neural network model, which provides ideas for constructing neural network control algorithms with biological rationality and opens up a new pathway for intelligent control of complex nonlinear systems.

the《IEEE Transaction on Cybernetics》journal has an impact factor of 19.118.