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Humanoid robot consists of many degrees of freedom to perform various tasks in the same way as human. However, most robots lost its abilities when the joint failure problem occurs. In order to keep its basic function when the robot suffered joint failures, we proposed the algorithm which applied basic concepts of genetic algorithm optimization for generating new configuration from the remaining joints...
This paper addresses the use of a subset of genetic algorithms, an artificial immune system, to increase the responsiveness and accuracy of fault tolerant control in an over-actuated vehicle. These algorithms allow both inexact a priori to be easily incorporated into a model to represent the vehicle even within dynamic fault states.
In 2015 an outbreak of Middle East Respiratory Syndrome (MERS) has occurred in South Korea, which has been known to be the second biggest outbreak of MERS so far. In this paper we study an estimation of the basic reproduction number of the coronavirus (CoV) of MERS based on the reported data from the MERS spread in South Korea. To this end we employ a mathematical model described by a set of ordinary...
In this paper a prototype of crude network tanks system is modeled from the first principle, the system is then controlled using the PID (Proportional Integral Derivative) control system, the PID tuning parameters are optimized successfully using Genetic algorithm based on control performance indices (i.e. Mean Square Error (MSE), integral square error (ISE), integral absolute error (IAE), and integrated...
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