ORCID Profile
0000-0001-7962-7153
Current Organisation
University of South Australia
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Publisher: Springer Science and Business Media LLC
Date: 19-09-2013
Publisher: Elsevier BV
Date: 02-2012
Publisher: Springer Science and Business Media LLC
Date: 12-02-2019
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2014
DOI: 10.1137/130910221
Publisher: Informa UK Limited
Date: 08-2011
Publisher: Springer Science and Business Media LLC
Date: 2006
Publisher: Informa UK Limited
Date: 07-1993
Publisher: Springer Science and Business Media LLC
Date: 08-06-2014
Publisher: Springer Science and Business Media LLC
Date: 20-11-2019
Publisher: Informa UK Limited
Date: 06-2021
Publisher: Elsevier BV
Date: 12-2006
Publisher: Informa UK Limited
Date: 28-12-2022
Publisher: Springer Science and Business Media LLC
Date: 09-09-2021
Publisher: IEEE
Date: 2001
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2010
DOI: 10.1137/090766668
Publisher: Springer Science and Business Media LLC
Date: 11-05-2010
Publisher: Hindawi Limited
Date: 2002
Abstract: This paper considers stochastic stability and stochastic stabilizability of linear discrete-time systems with Markovian jumps and mode-dependent time-delays. Linear matrix inequality (LMI) techniques are used to obtain sufficient conditions for the stochastic stability and stochastic stabilizability of this class of systems. A control design algorithm is also provided. A numerical ex le is given to demonstrate the effectiveness of the obtained theoretical results.
Publisher: Springer-Verlag
Publisher: Elsevier BV
Date: 02-2015
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2013
DOI: 10.1137/12087880X
Publisher: Springer Science and Business Media LLC
Date: 29-01-2010
Publisher: Wiley
Date: 11-2004
DOI: 10.1002/OCA.749
Publisher: Elsevier BV
Date: 03-2004
Publisher: Wiley
Date: 07-1996
DOI: 10.1002/(SICI)1099-1514(199607/09)17:3<171::AID-OCA571>3.0.CO;2-9
Publisher: Springer New York
Date: 2010
Publisher: Springer Science and Business Media LLC
Date: 04-07-2021
Publisher: Springer Science and Business Media LLC
Date: 22-05-2020
Publisher: IEEE
Publisher: Springer Science and Business Media LLC
Date: 04-2003
Publisher: Springer Science and Business Media LLC
Date: 20-03-2015
Publisher: Springer Science and Business Media LLC
Date: 10-07-2007
Publisher: Springer Science and Business Media LLC
Date: 22-05-2020
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2008
DOI: 10.1137/060675034
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 20-10-2023
Publisher: Oxford University Press (OUP)
Date: 1995
Publisher: Springer Science and Business Media LLC
Date: 20-09-2021
DOI: 10.1186/S13663-021-00700-9
Abstract: It is well known that the Newton method may not converge when the initial guess does not belong to a specific quadratic convergence region. We propose a family of new variants of the Newton method with the potential advantage of having a larger convergence region as well as more desirable properties near a solution. We prove quadratic convergence of the new family, and provide specific bounds for the asymptotic error constant. We illustrate the advantages of the new methods by means of test problems, including two and six variable polynomial systems, as well as a challenging signal processing ex le. We present a numerical experimental methodology which uses a large number of randomized initial guesses for a number of methods from the new family, in turn providing advice as to which of the methods employed is preferable to use in a particular search domain.
Publisher: Wiley
Date: 2005
DOI: 10.1002/OCA.756
Publisher: Springer International Publishing
Date: 2019
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2017
DOI: 10.1137/16M1083967
Publisher: Springer Science and Business Media LLC
Date: 04-2005
Publisher: Springer Science and Business Media LLC
Date: 1998
Publisher: Informa UK Limited
Date: 24-06-2022
Publisher: Springer Science and Business Media LLC
Date: 12-07-2017
Publisher: Cambridge University Press (CUP)
Date: 2005
DOI: 10.1017/S1446181100008324
Abstract: In this paper we introduce an impulsive control model of a rumour process. The spreaders are classified as subscriber spreaders, who receive an initial broadcast of a rumour and start spreading it, and nonsubscriber spreaders who change from being an ignorant to being a spreader after encountering a spreader. There are two consecutive broadcasts. The first starts the rumour process. The objective is to time the second broadcast so that the final proportion of ignorants is minimised. The second broadcast reactivates as spreaders either the subscriber stiflers (Scenario 1) or all in iduals who have been spreaders (Scenario 2). It is shown that with either scenario the optimal time for the second broadcast is always when the proportion of spreaders drops to zero.
Publisher: Springer Science and Business Media LLC
Date: 16-10-2020
Publisher: Springer Science and Business Media LLC
Date: 10-08-2013
Publisher: Informa UK Limited
Date: 18-07-2023
Publisher: Springer Science and Business Media LLC
Date: 26-09-2014
Publisher: Elsevier BV
Date: 02-2016
No related grants have been discovered for C. Yalçın Kaya.