In biomedical applications, the regulation of biological systems that contain Genetic Regulatory Networks (GRNs), protein formation, and pancreas structure is crucial for maintaining health. Any significant deviations...
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In biomedical applications, the regulation of biological systems that contain Genetic Regulatory Networks (GRNs), protein formation, and pancreas structure is crucial for maintaining health. Any significant deviations from the set values of these systems can lead to serious diseases and potentially death. Hence, there's a pressing need for effective control systems to manage and regulate these biological processes. Therefore, a novel control approach called Normalized Versatile Fuzzy Fractional-Order Proportional-Integral-Derivative (NV-FFOPID) based controller is suggested to address the challenges of regulating parameters within organic systems. This is designed to control the variables of biological systems like nutrient synthesis, pancreatic function, and GRNs within a Linear-Time Invariant (LTI) model. The stability of the proposed control system is analyzed using appropriate stability theories to ensure its robustness and reliability. To implement and validate the proposed approach, a nonlinear dynamic model of the organic system is developed using Simulink / MATLAB. The efficacy of the NV-FFOPID controller is evaluated by comparing it with numerous advanced control methods commonly taken in biomedical applications. Performance metrics such as convergence time, settling time, overshoot, rise time, and overall system error are used for comparison. The results indicate that the projected controller achieves steady-state conditions with minimal error of 1.2725% in the system. Additionally, it exhibits a lower settling time of 3.7 s, an overshoot having 0.5, a convergence time of 10 s, and a rise time of 1.985 s compared to alternative methods. These findings suggest that the developed NV-FFOPID controller effectively regulates parameter variations in biological systems, thereby offering significant advantages in addressing complex biomedical problems. The proposed approach holds promise for improving the management and control of crucial biological processes, con
The paper proposes a novel checkpoint management method for a real-time system with a quintuple modular redundancy (QMR) structure wherein multiple fault detections are performed between checkpoints. If the detected f...
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The Heat Exchange Recirculating Mash System (HERMS) is widely used in craft brewing to maintain precise temperature control during the mashing process, which is crucial for achieving optimal sugar extraction and mash ...
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This research estimates the power loss in photovoltaic (PV) systems through a Random Forest model by using 15-min interval data for two years (2021-2023) of operation from a university campus located in Delhi, India. ...
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Electromagnetic current transformer is one of the important pieces of equipment used in AC power system measurement. Due to continuous improvement of current level to be measured in the power system, ordinary single-l...
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Electromagnetic current transformer is one of the important pieces of equipment used in AC power system measurement. Due to continuous improvement of current level to be measured in the power system, ordinary single-loop magnetic core structure cannot meet industrial needs of wide measuring range with high accuracy, while it even has a magnetic saturation problem when measured current is reaching the limit. Most existing methods expand measuring range and increase antisaturation ability of the magnetic core by either opening an air gap in the magnetic core or increasing number of turns of primary and secondary windings, but it will bring additional problems such as volume and heat dissipation of the transformer. To solve such issues, in this paper, we proposed a magnetic core structure of double-loop current transformer based on incomplete magnetic field cancellation principle. Calculation formula of air gap size and theoretical error are analyzed. We provide a theo-retical analysis of working characteristics, amplitude error and phase error throughout a three-dimensional simulation model of transformer. In addition, we evaluate performance through a series of comparison experiments. Results demonstrate our double-loop current transformer can maintain good linear relationship between primary and secondary current while ensuring measurement accuracy at 0.2 level. With the same volume, it has a wider range of rated current measurements and a certain anti-saturation ability.
作者:
Nair, Remya RSidharth, N.Venugopal, G.
Biomedical Instrumentation and Signal Processing Lab Department of Instrumentation and Control Engineering Kerala Palakkad India
Department of Electronics and Communication Engineering Kerala Palakkad India
Fiber type proportion influences the fatigue characteristics and force production in skeletal muscles. In this study, surface electromyography signals and concentration measure derived from Rihaczek distribution are u...
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Anaerobic digestion is a wastewater treatment method that utilizes bacterial decomposition to convert organic matter into biogas, which provides both environmental and economic benefits. However, controlling biogas pr...
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This paper introduces a motion control algorithm for an autonomous four-wheel steering(4WS) vehicle system, which independently controls the steering angles of the front and rear wheels. This capability allows for thr...
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In the process industries, it's hard to control a non-linear process. Nonlinear behavior is frequently seen in real processes. The challenging problem of controlling a spherical tank is result of its nonlinearity ...
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作者:
Sidharth, N.Nair, Remya RVenugopal, G.
Department of Electronics and Communication Engineering Kerala Palakkad India
Ieee Biomedical Instrumentation and Signal Processing Lab Department of Instrumentation and Control Engineering Kerala Palakkad India
The selection of time and frequency windows is having a significant impact on the time-frequency (TF) resolution and interference suppression of smoothed pseudo-Wigner-Ville distribution (SPWVD). In this study, the ef...
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