Majid Moradi Zirkohi

Orcid: 0000-0001-5544-4301

According to our database1, Majid Moradi Zirkohi authored at least 13 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Adaptive neural dynamic surface control of load/grid connected voltage source inverters with LC/LCL filters.
IFAC J. Syst. Control., December, 2023

2022
Robust adaptive backstepping control of uncertain fractional-order nonlinear systems with input time delay.
Math. Comput. Simul., 2022

Decentralized adaptive neuro-fuzzy dynamic surface control for maximum power point tracking of a photovoltaic system.
J. Frankl. Inst., 2022

Adaptive backstepping control design for MEMS gyroscope based on function approximation techniques with input saturation and output constraints.
Comput. Electr. Eng., 2022

Fast terminal sliding mode control design for position control of induction motors using adaptive quantum neural networks.
Appl. Soft Comput., 2022

2021
Observer-based neural network dynamic surface control of single-phase LCL-filtered grid-connected inverters under parametric uncertainties and weak grid condition.
Trans. Inst. Meas. Control, 2021

An efficient non-iterative method for computing the centroid of an interval type-2 fuzzy set.
J. Intell. Fuzzy Syst., 2021

2020
Adaptive backstepping controller design for MIMO cancer immunotherapy using Laguerre polynomials.
J. Frankl. Inst., 2020

2019
Finite-time adaptive fuzzy backstepping control of drug dosage regimen in cancer treatment.
Trans. Inst. Meas. Control, 2019

An efficient approach for digital secure communication using adaptive backstepping fast terminal sliding mode control.
Comput. Electr. Eng., 2019

2017
Model reference type-2 fuzzy sliding mode control for a novel uncertain hyperchaotic system.
J. Intell. Fuzzy Syst., 2017

2013
Type-2 Fuzzy Control for a Flexible- joint Robot Using Voltage Control Strategy.
Int. J. Autom. Comput., 2013

2010
Design of Radial Basis Function Network Using Adaptive Particle Swarm Optimization and Orthogonal Least Squares.
J. Softw. Eng. Appl., 2010


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