M
Mahdi Aliyari Shoorehdeli
Researcher at K.N.Toosi University of Technology
Publications - 169
Citations - 2173
Mahdi Aliyari Shoorehdeli is an academic researcher from K.N.Toosi University of Technology. The author has contributed to research in topics: Fuzzy control system & Control theory. The author has an hindex of 20, co-authored 157 publications receiving 1812 citations. Previous affiliations of Mahdi Aliyari Shoorehdeli include Islamic Azad University, Science and Research Branch, Tehran & Islamic Azad University.
Papers
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Adaptive variable structure hierarchical fuzzy control for a class of high-order nonlinear dynamic systems
TL;DR: A novel adaptive hierarchical fuzzy control system based on the variable structure control is developed for a class of SISO canonical nonlinear systems in the presence of bounded disturbances to investigate the stability of the nonlinear dynamic systems.
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Hybrid-controlled neurofuzzy networks analysis resulting in genetic regulatory networks reconstruction.
Roozbeh Manshaei,Pooya Sobhe Bidari,Mahdi Aliyari Shoorehdeli,Amir Feizi,Tahmineh Lohrasebi,Mohammad Ali Malboobi,Matthew Kyan,Javad Alirezaie +7 more
TL;DR: It is demonstrated that the proposed algorithm not only selects the patterns of the time series gene expression data accurately, but also provides models with better reconstruction accuracy when compared with four published algorithms: DBNs, VBEM, time delay ARACNE, and PF subjected to LASSO.
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Anti-swing control of a double-pendulum-type overhead crane using parallel distributed fuzzy LQR controller
TL;DR: This paper proposes a hybrid controller that includes both position regulation and anti-swing control and the validity of the proposed control algorithm is illustrated and it is compared with a similar method parallel distributed fuzzy controller.
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An interdisciplinary overview and intelligent control of human prosthetic eye movements system for the emotional support by a huggable pet-type robot from a biomechatronical viewpoint
TL;DR: A distinguished survey of existing literature on the intelligent control of the human eye movements system applied in a huggable pet-type robot as a biomechatronic system and the intelligent controls applied are emulated from the neural controls in biological system.
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Stability of Feedback Error Learning for Linear Systems
TL;DR: A simple single-layer neural network is assumed as an adaptive linear combiner and stability techniques are applied to derive the same adaptation law as feedback error learning rule for a linear representation of dynamic system with unknown parameters.