%O cited By 1; Conference of International Conference on Computer, Control, Informatics and Its Applications, IC3INA 2015 ; Conference Date: 5 October 2015 Through 7 October 2015; Conference Code:118992
%P 23-27
%I Institute of Electrical and Electronics Engineers Inc.
%K Differential equations; Dynamical systems; Information science; Maximum likelihood; Ordinary differential equations; Parameter estimation, Delay differential equations; Delay parameters; Differential equation model; Exponential delay; Grid-based; Maximum likelihood methods; Simulation data; Unknown delay, Maximum likelihood estimation
%R 10.1109/IC3INA.2015.7377740
%A A.A. Mahmoud
%A S.C. Dass
%A M.S. Muthuvalu
%J Proceeding - 2015 International Conference on Computer, Control, Informatics and Its Applications: Emerging Trends in the Era of Internet of Things, IC3INA 2015
%T A maximum likelihood estimation framework for the exponential Differential Equation Model
%D 2016
%L scholars7261
%X In this paper we propose the maximum likelihood method of estimation for Delay Differential Equation Model governed by unknown delay and other parameters of interest. As an example we consider the Exponential Differential Equation Model. A grid based estimation framework is proposed. Our methodology estimates correctly the delay parameter as well as the initial starting value of the dynamical system based on simulation data. © 2015 IEEE.