Rajalakshmi Murugesan

Thiagarajar College of Engineering · Department of Mechatronics

IoT technology has triggered a revolutionary transformation across various industries , with agriculture being no exception. Smart farming, the integration of IoT in farming, has led to a complete overhaul of traditional agricultural practices by seamlessly combining sensor networks, data analytics, and automation. This comprehensive review aims to...

Seaweeds, crucial components of marine ecosystems, thrive in marine and coastal waters, notably in the Gulf of Mannar Biosphere. Despite their ecological importance, certain seaweed species pose a threat to coral reefs due to the release of hydrophobic allelochemicals. Fisherwomen, risking their lives in collecting seaweed seed stock from littoral...

This article has been retracted at the request of the first and corresponding author, Dr. Karthik Chandran. The author has alerted the Editor-in-Chief of IJUFKS the reasons for the retraction: • The proposed system was modelled with the incorrect data set. The system response has become incorrect because of this incorrect data set. • Two percent o...

Decentralized Model Reference Adaptive Control problems are investigated for a class of linear time-invariant two time-scale model, having fast and slow dynamics and unmatched interconnections. Design of full state feedback controller is a critical task to the system having interrelated dynamics and nonlinear interconnections of time varying lags,...

In this paper, a simple controller design with the fractional order calculations applies to unstable cascade processes with a significant time delay. Series cascade control system consists of two loops in which the inner loop is designed using the IMC principle based on the synthesis method. The primary controller is designed with the FOPI-FOPD con...

Model parameter estimation and controller tuning of the nonlinear clarification process are primary issues in the sugar industry. This paper proposes a Lagrangian-based state transition algorithm (LSTA) for controlling the clarification process and identifying the model parameters. First, the standard system identification procedure is used to esti...

In this paper, a support vector regression (SVR)-based system identification and model reference adaptive control (MRAC) strategy for stable nonlinear process input-output form is designed. In order to implement the proposed control structure, SVR-based identification methods are clearly addressed. The control of a moisture process on the paper mac...

This paper is focuses modeling of the last part of the paper machine - the drying section. Paper is dried by letting it pass through a series of steam heated group of cylinders and the evaporation is thus performed by the latent heat of vaporization of the steam. The moisture in the paper is controlled by adjusting the set point of the steam presur...

The pH control finds wide applications in process industries. The pH process is a non-linear dynamic system and an extremely complex and challenging control problem in process industries. A considerable amount of research has been carried out on modeling, identification and control of nonlinear processes. Most dynamical systems can be better repres...