title: Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control.
abstract: This paper is concerned with the finite-time robust stabilization of delayed neural networks (DNNs) in the presence of discontinuous activations and parameter uncertainties. By using the nonsmooth analysis and control theory, a delayed controller is designed to realize the finite-time robust stabilization of DNNs with discontinuous activations and parameter uncertainties, and the upper bound of the settling time functional for stabilization is estimated. Finally, two examples are provided to demonstrate the effectiveness of the theoretical results.
authors.affiliation: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China.
authors.forename: Leimin
authors.initials: L
authors.lastname: Wang
authors.affiliation: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China. Electronic address: yishen64@163.com.
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.affiliation: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China.
authors.forename: Yin
authors.initials: Y
authors.lastname: Sheng
mesh_terms: D000465:Algorithms; D005246:Feedback; D016571:Neural Networks, Computer; D013995:Time; D013997:Time Factors; D035501:Uncertainty
keywords: Delayed controller; Delayed neural networks (DNNs); Discontinuous activations; Finite-time robust stabilization; Parameter uncertainties; Settling time