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State estimation of static neural networks with mixed delays: A new parameterized delay interval approach
Institution:1. Division of Electronic Engineering, Jeonbuk National University, 567 Baekje-daero, Jeonju 54896, Republic of Korea;2. Center for Global Conversing Humanities, Kyung Hee University, 1732 Deogyeong-daero, Yongin 17104, Republic of Korea;3. Department of Electrical Engineering, Yeungnam University, Gyongsan 38541, Republic of Korea;1. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China;2. Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, PR China;3. School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, 610106, PR China;4. School of Mathematics Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, PR China;5. School of Electrical Engineering, Chungbuk National University, Chungdae-ro, Seowon-Gu, Cheongju 28644, South Korea;1. Department of Applied Mathematics, School of Science, Dalian Maritime University, Dalian 116026, PR China;2. College of Transportation Engineering, Dalian Maritime University, Dalian, Liaoning 116026, PR China;3. School of Management, Guangzhou University, Guangzhou, 510006, PR China;4. School of Mathematics and Information Science, Shandong Institute of Business and Technology, Yantai 264005, PR China;5. School of Mathematical Sciences, Sunway University, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia;6. Teaching and Research Office of Mathematics, Department of Basics, PLA Dalian Naval Academy, Dalian, Liaoning 116018, PR China
Abstract:
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