M
Maryam Shahriari-kahkeshi
Researcher at Shahrekord University
Publications - 26
Citations - 239
Maryam Shahriari-kahkeshi is an academic researcher from Shahrekord University. The author has contributed to research in topics: Nonlinear system & Fuzzy logic. The author has an hindex of 6, co-authored 24 publications receiving 153 citations. Previous affiliations of Maryam Shahriari-kahkeshi include Isfahan University of Technology.
Papers
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Journal ArticleDOI
Entropy Analysis and Neural Network-Based Adaptive Control of a Non-Equilibrium Four-Dimensional Chaotic System with Hidden Attractors
Hadi Jahanshahi,Maryam Shahriari-kahkeshi,Raúl Alcaraz,Xiong Wang,Vijay P. Singh,Viet-Thanh Pham +5 more
TL;DR: This paper presents a non-equilibrium four-dimensional chaotic system with hidden attractors and investigates its dynamical behavior using a bifurcation diagram, as well as three well-known entropy measures, such as approximate entropy, sample entropy, and Fuzzy entropy.
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Adaptive fault detection and estimation scheme for a class of uncertain nonlinear systems
TL;DR: In this article, a fault detection and estimation (FDE) scheme for a class of Lipschitz nonlinear systems subjected to modeling and measurement uncertainties is presented, which is based on an adaptive diagnostic observer that not only estimates the states of the system and generates the residual signal simultaneously, but also is able to estimate the characteristic and magnitude of an unknown fault.
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Adaptive fuzzy wavelet network for robust fault detection and diagnosis in non-linear systems
TL;DR: In this paper, an adaptive fuzzy wavelet network-based fault detection and diagnosis (AFWN-FDD) scheme is proposed for non-linear systems subject to unstructured uncertainty.
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An Adaptive Estimator-Based Sliding Mode Control Scheme for Uncertain POESLL Converter
TL;DR: An adaptive estimator-based sliding mode control scheme for the POSELL converter considering a reduced-order model of the converter with an unknown load and unknown input voltage and the ability of the proposed scheme for voltage regulation as well as its robustness against parameter uncertainties is verified.
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Distributed adaptive consensus tracking control for uncertain non-linear multi-agent systems with input saturation
TL;DR: This study proposes a novel distributed adaptive consensus control scheme for a class of uncertain non-linear multi-agent systems with unknown control gains and input saturation that solves the `singularity' problem without using the projection operator.