Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case

• Published in: Neurocomputing (Amsterdam) Vol. 488; pp. 144 - 153
• Main Authors: Wang, Licheng, Zhao, Di, Wang, Yu-Ang, Ding, Derui, Liu, Hongjian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2022
• Subjects: Artificial neural networks; Bit-rate constraints; Encoding–decoding mechanism; Finite-time state estimation; Partial-nodes-based state estimation; Encoding–decoding mechanism; Partial-nodes-based state estimation; Finite-time state estimation; Bit-rate constraints; Artificial neural networks

This paper is concerned with the partial-neuron-based finite-time state estimation problem for a class of artificial neural networks with time-varying delays. Measurements information from only a small fractional of the artificial neurons are applied to the state estimation process. The data transmi...