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Acute leukemia is one of the critical disease that requires immediate treatment due to the rapid progression and accumulation of the cancerous cells. In recent years, image processing techniques had been explored to enhance the diagnosis of acute leukemia. However, microscopic image captured from the light microscope usually has poor quality due to the capability of the camera and improper operation...
In this paper, an intelligence controller namely Adaptive Neuro-controller (ANC) based on Hybrid Multilayered Perceptron (HMLP) network is developed for the attitude control of a nano-satellite. The objective of this paper is to compare the tracking performance between ANC based on HMLP network and ANC based on standard MLP network for controlling a satellite attitude. Both ANC's use Model Reference...
This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected in parallel with the plant. The controller is achieved by estimating the plant and then finding its inverse model of the InnoSAT plant using the NN. The control signal error is...
In this paper, a method for adapting conventional controller are used to adapt an adaptive parametric black box controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory which is given by a reference model. The parameters of APBB controller are estimated by using recursive least square method. The estimation goal is for the parameters to converge...
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