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Full-Text Articles in Computer Engineering
Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao
Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao
Journal of System Simulation
Abstract: This paper presents an adaptive fuzzy sliding mode controller with Kalman predictive control (AFSMCK) for the redundant robotic manipulator handling a variable payload to achieve a precise trajectory tracking in the task space. This approach could be applied to solve the problems caused by the variable payload and model uncertainties. A Kalman predictive controller using the recursive algorithm is presented for an accurate prediction of a variable payload. The adaptive fuzzy logic algorithm is designed to approximate the parameters of the sliding mode controller to avoid chattering in real time. Lyapunov theory is applied to guarantee the stability of …
Exploiting Stochastic Petri Nets With Fuzzy Parameters To Predict Efficient Drug Combinations For Spinal Muscular Atrophy, Rza Bashi̇rov, Recep Duranay, Adi̇l Şeytanoğlu, Mani Mehraei, Ni̇met Akçay
Exploiting Stochastic Petri Nets With Fuzzy Parameters To Predict Efficient Drug Combinations For Spinal Muscular Atrophy, Rza Bashi̇rov, Recep Duranay, Adi̇l Şeytanoğlu, Mani Mehraei, Ni̇met Akçay
Turkish Journal of Electrical Engineering and Computer Sciences
Randomness and uncertainty are two major problems one faces while modeling nonlinear dynamics of molecular systems. Stochastic and fuzzy methods are used to cope with these problems, but there is no consensus among researchers regarding which method should be used when. This is because the areas of applications of these methods are overlapping with differences in opinions. In the present work, we demonstrate how to use stochastic Petri nets with fuzzy parameters to manage random timing of biomolecular events and deal with the uncertainty of reaction rates in biological networks. The approach is demonstrated through a case study of simulation-based …
Application Of Fuzzy Logic On Astronomical Images' Focus Measures, Alaa Hamdy, Farag Elnagahy, Islam Helmy
Application Of Fuzzy Logic On Astronomical Images' Focus Measures, Alaa Hamdy, Farag Elnagahy, Islam Helmy
Turkish Journal of Electrical Engineering and Computer Sciences
Focus accuracy is an essential factor that affects the quality of astronomical observations. The accurate measurement of celestial objects' properties depends on focus. Automatic focusing is necessary for celestial imaging systems. This paper presents a modified focus measure operator. It also proposes the use of fuzzy logic to transform images because of its tolerance of imprecise and incomplete data. The focus operators are applied to two sequences of star clusters' observations. The experimental results show that the suggested measure's overall score exceeds those of previous operators.
Fuzzy Logic-Based Disparity Selection Using Multiple Data Costs For Stereo Correspondence, Akhil Appu Shetty, V.I George, C Gurudas Nayak, Raviraj Shetty
Fuzzy Logic-Based Disparity Selection Using Multiple Data Costs For Stereo Correspondence, Akhil Appu Shetty, V.I George, C Gurudas Nayak, Raviraj Shetty
Turkish Journal of Electrical Engineering and Computer Sciences
Stereo matching algorithms are capable of generating depth maps from two images of the same scene taken simultaneously from two different viewpoints. Traditionally, a single cost function is used to calculate the disparity between corresponding pixels in the left and right images. In the present research, we have considered a combination of simple data costs. A new method to combine multiple data costs is presented and a fuzzy-based disparity selection method is proposed. Experiments with different combinations of parameters are conducted and compared through the Middlebury and Kitti Stereo Vision Benchmark.