#IJSRD Modeling and Simulation of a plate with piezo-patches as sensors/actuators using LQG modal control & comparison with classical controller- topic for MEch department

Modeling and Simulation of a plate with piezo-patches as sensors/actuators using LQG modal control & comparison with classical controller

Abstract :

This work is aimed at the active vibration control of a flexible structures using piezoelectric material. A cantilever plate structure, which is supported at one end and free at another is taken as the flexible structure with piezoelectric materials as sensors and actuators. Sensors and actuators, which are square in shapes, are embedded to the parent structure. The active controller was designed to control first three modes of vibration of plate. First, the analysis for the transient vibrations in a cantilever plate structure was performed which was followed by the analysis of the same cantilever plate structure when embedded upon with a pair of sensor and actuator. The plate was discretized into small square elements (8x8) of identical size (2x2cm) in order to assign the different locations to sensors and actuators, which were assumed to be of the exact shape of the discretized plate elements. PID and LQG controllers are applied for attenuating the global structural vibration and comparisons between the both controllers are carried out.

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Research Paper On :

PRIVACY PRESERVING AGAINST NETWORK INTRUSION DETECTION IN VIRTUAL NETWORK SYSTEM

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Authors :

SHRUTHI S , RNS INSTITUTE OF TECHNOLOGY

Description :

Cloud security is one of most important issues that has attracted a lot of research and development effort in past few years. Particularly, attackers can explore vulnerabilities of a cloud system and compromise virtual machines to deploy further large-scale Distributed Denial-of-Service(DDoS). DDoS attacks usually involve early stage actions such as multi-step exploitation, low frequency vulnerability scanning, and compromising identified vulnerable virtual machines as zombies, and finally DDoS attacks through the compromised zombies. Within the cloud system, especially the Infrastructure-as-a-Service (IaaS) clouds, the detection of zombie exploration attacks is extremely difficult. This is because cloud users may install vulnerable applications on their virtual machines. To prevent vulnerable virtual machines from being compromised in the cloud, we propose a multi-phase distributed vulnerability detection, measurement, and countermeasure selection mechanism called NICE, which is built on attack graph based analytical models and reconfigurable virtual network-based countermeasures.

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