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Mahdi Aliyari Shoorehdeli
K.N.Toosi University of Technology
Control engineeringComputer scienceArtificial neural networkControl theoryControl theory
146Publications
17H-index
1,175Citations
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Publications 146
Newest
#1Mahsa Fozuni Shirjini (KNTU: K.N.Toosi University of Technology)
#2Amin Nikanjam (KNTU: K.N.Toosi University of Technology)H-Index: 6
Last. Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
view all 3 authors...
Stability and convergence analysis have been previously accomplished for some population-based search and swarm intelligence algorithms like Particle Swarm Optimization and Gravitational Search Algorithm. However, there is no adequate theoretical analysis for Bat Algorithm (BA) in the literature. The BA is a type of optimization algorithms which is inspired by the motion of small bats searching for hunting their preys. In this study, stability and convergence of the particle dynamics in the stan...
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#1Masoud Moghaddasi (KNTU: K.N.Toosi University of Technology)
#2Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
Last. Abbas Haghparast (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 23
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Abstract Brain-machine interfaces (BMIs) can enable paralyzed people to regain mobility. In these interfaces, some different type of signals can be obtained from the brain, one of which is the action potential waveform (spike). In the case of using spikes, sorting the recorded signals and isolating the effects of the individual neurons can lead to a greater efficiency. Also, because of the nature of BMIs, real-time spike sorting is necessary. In many spike sorting approaches, the main outline co...
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#1Koorosh Aslansefat (University of Hull)H-Index: 2
#2Mahdi Bahar Gogani (Shahid Beheshti University)
Last. Mostafa YariH-Index: 2
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Abstract In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds of thresholding or filtration are applied to decrease alarm nuisance and improve performance indices, such as Averaged Alarm Delay (ADD), Missed Alarm and False Alarm Rates (MAR and FAR). Among threshold-based approaches, variable threshold...
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Introduction: Identifying the potential firing patterns following by different brain regions under normal and abnormal conditions increases our understanding of what is happening in the level of neural interactions in the brain. On the other hand, it is important to be capable of modeling the potential neural activities, in order to build precise artificial neural networks. The Izhikevich model is one of the simple biologically plausible models that is capable of capturing the most known firing ...
2 Citations
#1Hossein Ali Ghiassirad (IAU: Islamic Azad University)
#2Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
Last. Faezeh Farivar (IAU: Islamic Azad University)H-Index: 9
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Abstract Constrained learning has numerous applications and advantages, especially in circumstances in which hardware implementation imposes some constraints on us by biological justifications. Making neural network comprehensible, faster convergence and learning general properties are of other advantages of constrained learning. In this article we have tried to use constrained learning to reach more plausibility biologically. We will demonstrate that not only does the proposed model have advant...
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#1Mohammad Mahdi Zabihi Shesh Poli (IAU: Islamic Azad University)
#2Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
Last. Ali Moarefianpour (IAU: Islamic Azad University)H-Index: 3
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Source
Jul 1, 2019 in IJCNN (International Joint Conference on Neural Network)
#1Pedram Agand (KNTU: K.N.Toosi University of Technology)H-Index: 3
#2Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
Since batch algorithms suffer from lack of proficiency in confronting model mismatches and disturbances, this contribution proposes an adaptive scheme based on continuous Lyapunov function for online robot dynamic identification. This paper suggests stable updating rules to drive neural networks inspiring from model reference adaptive paradigm. Network structure consists of three parallel self-driving neural networks which aim to estimate robot dynamic terms individually. Lyapunov candidate is s...
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#1Fatemeh Nasri Rudsari (IAU: Islamic Azad University)
#2Ali Asghar Razi-Kazemi (KNTU: K.N.Toosi University of Technology)H-Index: 7
Last. Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
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High-voltage circuit breakers (HVCBs) play a substantial protection role in power networks. The reliable operation of these critical components leads to an increment of resiliency and safety of power systems. It is essential to design a fault diagnostic system that detects the defects in preliminary levels and identify the origins to establish a precise maintenance task. This paper focuses on coil current and contact travel waveforms as significant signals that bear helpful information about the...
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#1Majid Ghaniee Zarch (IUST: Iran University of Science and Technology)H-Index: 2
#2Vicenç Puig (CSIC: Spanish National Research Council)H-Index: 37
Last. Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
view all 4 authors...
Abstract In this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set form (viability kernel and capture basin) that are very useful to assess if after the fault the NMPC controller will be able to achieve their goal either using a reconfiguration or an accommodation strategy. By representing the nonlinear model of the system in a linear ...
1 CitationsSource
#1Majid Ghaniee Zarch (IUST: Iran University of Science and Technology)H-Index: 2
#2Vicenç Puig (CSIC: Spanish National Research Council)H-Index: 37
Last. Mahdi Aliyari Shoorehdeli (KNTU: K.N.Toosi University of Technology)H-Index: 17
view all 4 authors...
This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the viability constraints characterisation of dynamic evolutions of complex systems under uncertainty. These methods can be used for checking the consistency between observed and predicted behaviour by using simple sets that approximate the exact set of possible behaviour (in the parameter or state space). ...
4 CitationsSource
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