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dc.contributor.authorUykan, Zekeriya
dc.date.accessioned2015-07-09T07:34:12Z
dc.date.available2015-07-09T07:34:12Z
dc.date.issued2013
dc.identifier.citationUYKAN, Z. (2013). Discrete pseudo-sinr-balancing nonlinear recurrent system. Discrete Dynamics in Nature and Society, Voluem 2013, 19p. https://dx.doi.org/10.1155/2013/480560.en_US
dc.identifier.issn1026-0226
dc.identifier.other000319148300001 (WOS)
dc.identifier.urihttps://dx.doi.org/10.1155/2013/480560
dc.identifier.urihttps://hdl.handle.net/11376/1785
dc.description.abstractBeing inspired by the Hopfield neural networks (Hopfield (1982) and Hopfield and Tank (1985)) and the nonlinear sigmoid power control algorithm for cellular radio systems in Uykan and Koivo (2004), in this paper, we present a novel discrete recurrent nonlinear system and extend the results in Uykan (2009), which are for autonomous linear systems, to nonlinear case. The proposed system can be viewed as a discrete-time realization of a recently proposed continuous-time network in Uykan (2013). In this paper, we focus on discrete-time analysis and provide various novel key results concerning the discrete-time dynamics of the proposed system, some of which are as follows: (i) the proposed system is shown to be stable in synchronous and asynchronous work mode in discrete time; (ii) a novel concept called Pseudo-SINR (pseudo-signal-to-interference-noise ratio) is introduced for discrete-time nonlinear systems; (iii) it is shown that when the system states approach an equilibrium point, the instantaneous Pseudo-SINRs are balanced; that is, they are equal to a target value. The simulation results confirm the novel results presented and show the effectiveness of the proposed discrete-time network as applied to various associative memory systems and clustering problems.en_US
dc.language.isoengen_US
dc.publisherHindawi Publishing Corporationen_US
dc.identifier.doi10.1155/2013/480560en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPower-Control Algorithmsen_US
dc.subjectCellular Radio Systemsen_US
dc.subjectAssociative Memoryen_US
dc.subjectCombinatorial Optimizationen_US
dc.subjectHopfield Networken_US
dc.subjectNeural Networksen_US
dc.subjectDesignen_US
dc.titleDiscrete pseudo-SINR-balancing nonlinear recurrent systemen_US
dc.typearticleen_US
dc.relation.journalDiscrete Dynamics in Nature and Societyen_US
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Kontrol ve Otomasyon Mühendisliği Bölümüen_US
dc.authoridTR33156en_US
dc.identifier.volume2013en_US
dc.identifier.startpage1en_US
dc.identifier.endpage19en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.institutionauthorUykan, Zekeriya


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