title: Observer design for switched recurrent neural networks: an average dwell time approach.
abstract: This paper is concerned with the problem of observer design for switched recurrent neural networks with time-varying delay. The attention is focused on designing the full-order observers that guarantee the global exponential stability of the error dynamic system. Based on the average dwell time approach and the free-weighting matrix technique, delay-dependent sufficient conditions are developed for the solvability of such problem and formulated as linear matrix inequalities. The error-state decay estimate is also given. Then, the stability analysis problem for the switched recurrent neural networks can be covered as a special case of our results. Finally, four illustrative examples are provided to demonstrate the effectiveness and the superiority of the proposed methods.
authors.affiliation: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. lianjieneu@yahoo.com.cn
authors.forename: Jie
authors.initials: J
authors.lastname: Lian
authors.forename: Zhi
authors.initials: Z
authors.lastname: Feng
authors.forename: Peng
authors.initials: P
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D016014:Linear Models; D016571:Neural Networks, Computer; D019370:Observation / Q000379:methods*; D012985:Software Design; D012986:Software Validation; D013997:Time Factors