Title: Nonlinear system parameter estimation of drying process using modified state transition algorithm in cloud environment

Authors: Karthik Chandran; Manikandan Ramasamy; Sathian Dananjayan; Ankur Dumka; Loganathan Jayakumar

Addresses: Woldia University, Woldia, Post Box No. 400, Ethiopia ' VIT Bhopal University, Madhya Pradesh, India ' Woldia University, Woldia, Post Box No. 400, Ethiopia ' Department of Computer Science and Engineering, Graphic Era (Deemed-to be-University), Dehradun, India ' Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology & Research, Guntur, India

Abstract: The parameter estimation optimisation with constraints for the nonlinear complex system requires a serious of computation. This paper introduced a novel constrained optimisation method named Lagrangian-based state transition algorithm (LSTA) to solve problems in distributed cloud computing environment. LSTA with the physical constraints involved in solving the problems which occurs while the conventional techniques are used. In LSTA, the updating of the result to an optimisation problem with constraints known as, a state transition. The Lagrangian multiplier is used as a constraint for state transition process to estimate the drying process system effectively. The experiments are conducted in the cloud computing environment and simulated results validated the proposed LSTA methodology for parameter estimation. This method is a promising way for system identification due to its searching competency, enduring performance considering physical limitations and quick convergence.

Keywords: system identification; system analysis and design; computational modelling; computer simulation; clouds.

DOI: 10.1504/IJCNDS.2020.104745

International Journal of Communication Networks and Distributed Systems, 2020 Vol.24 No.2, pp.123 - 142

Received: 07 May 2018
Accepted: 22 Jul 2018
Published online: 30 Jan 2020 *

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