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
More filters
Proceedings ArticleDOI
Velocity control of an electro hydraulic servosystem
TL;DR: In the new approaches, the classical method based on Lyapanov function is used, it is demonstrated that this new technique have good control ability performance and can be successfully used to stabilize any chosen operating point of the system.
Proceedings ArticleDOI
Sliding Mode Control of Magnetic Levitation System Using Radial Basis Function Neural Networks
TL;DR: A sliding mode controller (SMC) based on a radial basis function model for control of magnetic levitation system by sliding surface and generalized learning rule in case to eliminate Jacobain problem is developed.
Posted Content
A Novel Method For Designing Transferable Soft Sensors And Its Application.
TL;DR: A new transfer learning (TL) based regression method, called Domain Adversarial Neural Network Regression (DANN-R), is proposed and employed for designing transferable soft sensors that can successfully adapt to new plants and new working conditions.
Proceedings ArticleDOI
Probabilistic neural network oriented classification methodology for Ischemic Beat detection using Multi resolution Wavelet analysis
TL;DR: The aim of this study is improving the diagnosis level of Ischemic Beat detection from ECG signals which is important in ischemic episode detection process based on appropriate feature extraction via Multi resolution Wavelet analysis and proper classifier selection.
Proceedings ArticleDOI
Path planning of mobile robot using integer GA with considering terrain conditions
TL;DR: The novel representation is proposed for definition of chromosome which reduced the computational complexity of genetic algorithm that was used before for path planning of mobile robot in the grid form environment.