Intelligent Multi-Agent Technologies for Activating Security at Kwara State Polytechnic, Ilorin
Raji Ayodele Kamaldeen,
Abdulrahman Tosho Abdullahi,
Abdulkareem Quadri Bolaji,
Saka Tajudeen Olarenwaju
Issue:
Volume 2, Issue 4, July 2017
Pages:
34-41
Received:
30 July 2017
Accepted:
25 August 2017
Published:
3 October 2017
Abstract: Advancement in development of Information and Communication Technology engendered by the invention of agent technologies have fundamentally altered the ways the environment is secured. The advent of Intelligent Multi Agent technologies has also brought changes to various human activities, notably in respect of security. A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve like effective and continuous monitoring of the environment. It is observed that most institutions such as polytechnics and universities campuses are in critical positions with respect to securing of capital assets (i.e. detecting any problem through monitoring: temperature, motion, etc). Sensor networks are among the most important tools for performing such tasks. In this research work, multi agent technologies system was used to secure and/or monitor the buildings and rooms of a Polytechnic campus. The system is based on Intelligent multi agents and Wireless LAN connected sensors using JADE (Java Agent Development Environment), Netbeans and Java Development Kit (JDK).
Abstract: Advancement in development of Information and Communication Technology engendered by the invention of agent technologies have fundamentally altered the ways the environment is secured. The advent of Intelligent Multi Agent technologies has also brought changes to various human activities, notably in respect of security. A multi-agent system (MAS) i...
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Design of Control System for Vehicle Dynamics and Mass Estimation
Paulinus Chinaenye Eze,
Chinonso Francis Ubaonu,
Bonaventure Onyeka Ekengwu,
Chidiebere Alison Ugoh,
Inaibo Dein Samuel
Issue:
Volume 2, Issue 4, July 2017
Pages:
42-47
Received:
29 June 2017
Accepted:
12 July 2017
Published:
31 October 2017
Abstract: This paper has presented a control system for vehicle dynamics and mass estimation. The objective of this paper is to use a single-tyre model of slip control integrated with extended Kalman filter (EKF) to estimate the states of a vehicle such as the forward velocity, wheel slip, coefficient of friction of the road surface and the mass that cannot be measured directly. In order to do this, the dynamics of a vehicle moving with a forward velocity were obtained using a single-tyre model. The dynamic equations in continuous time were transformed into their equivalent discrete time form. A two degree of freedom proportional integral and derivative (2DOFPID) control algorithm was implemented for the control loop. An estimator was designed using the extended Kalman filter algorithm to carry out the estimation based on noisy measurement of wheel rotational speed. The entire system was modeled using Matlab/Simulink blocks. Simulations were performed to determine the effectiveness of the estimator. The simulation results showed that the extended Kalman filter effectively estimated the states of a single-tyre model of a vehicle represented by a slip control system. Though the results obtained seemed promising but will be improved if the covariance matrices are calculated with adequate information and are better tuned.
Abstract: This paper has presented a control system for vehicle dynamics and mass estimation. The objective of this paper is to use a single-tyre model of slip control integrated with extended Kalman filter (EKF) to estimate the states of a vehicle such as the forward velocity, wheel slip, coefficient of friction of the road surface and the mass that cannot ...
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