Výsledky vyhledávání - "Komanapalli Venkata Lakshmi Narayana"

Akademický článek

Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems

Autor: Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

Publikováno v: IEEE Access, Vol 10, Pp 95229-95280 (2022)

This article presents a symbiotic learning-based Grey Wolf Optimizer (SL-GWO) formulated through the introduction of symbiotic hunting and learning strategies to achieve a better trade-off between exploration and exploitation while standing immune to

Externí odkaz: https://doaj.org/article/93ff7e9e1dc44cab87f4fc1d0837acb8

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Akademický článek

Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles

Autor: Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

Publikováno v: IEEE Access, Vol 10, Pp 12084-12124 (2022)

A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population

Externí odkaz: https://doaj.org/article/2569d5c6039f427f9c707b7e39ecb7d7

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Akademický článek

Multi control scheme with modified Smith predictor for unstable first order plus time delay system

Autor: Medarametla Praveen Kumar, Komanapalli Venkata Lakshmi Narayana

Publikováno v: Ain Shams Engineering Journal, Vol 9, Iss 4, Pp 2859-2869 (2018)

A multi control scheme is proposed for unstable first order plus time delay (UFOPTD) system. The proposed control structure consists of two controllers which are intended for two distinct roles, set point tracking and disturbance rejection. A PI cont

Externí odkaz: https://doaj.org/article/65f3c6e5938f49d39672b4f511d8cf5f

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Akademický článek

DEVELOPMENT OF AN INTELLIGENT PRESSURE SENSOR WITH TEMPERATURE COMPENSATION

Autor: VAEGAE NAVEEN KUMAR, KOMANAPALLI VENKATA LAKSHMI NARAYANA

Publikováno v: Journal of Engineering Science and Technology, Vol 12, Iss 7, Pp 1723-1739 (2017)

This paper presents the design of an artificial neural network (ANN) based intelligent pressure sensor to measure pressure in the range 0-100 psig with high accuracy and temperature compensation. A capacitive pressure sensor detects the applied pres

Externí odkaz: https://doaj.org/article/85b818eec7ec4a78909b39b404769835

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