Mojtaba Ahmadieh Khanesar

Orcid: 0000-0001-5583-7295

Affiliations:
  • Semnan University, Department of Electrical and Control Engineering
  • K. N. Toosi University of Technology, Department of Control Engineering


According to our database1, Mojtaba Ahmadieh Khanesar authored at least 52 papers between 2009 and 2023.

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Bibliography

2023
Precision Denavit-Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches.
Sensors, 2023

Intelligent Static Calibration of Industrial Robots using Artificial Bee Colony Algorithm.
Proceedings of the IEEE International Conference on Mechatronics, 2023

Hand Gesture Interface to Teach an Industrial Robots.
Proceedings of the 20th International Conference on Informatics in Control, 2023

2022
Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System.
Proceedings of the 19th International Conference on Informatics in Control, 2022

2021
Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a "Chatty Device".
Sensors, 2021

Sliding-Mode Fuzzy Controllers
357, Springer, ISBN: 978-3-030-69181-3, 2021

2020
Recurrent Interval Type-2 Fuzzy Wavelet Neural Network with Stable Learning Algorithm: Application to Model-Based Predictive Control.
Int. J. Fuzzy Syst., 2020

2019
Support Vector Regression for Multi-objective Parameter Estimation of Interval Type-2 Fuzzy Systems.
Proceedings of the Soft Computing for Problem Solving 2019, 2019

XOR Binary Gravitational Search Algorithm.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Ant Colony Optimization Algorithm for Industrial Robot Programming in a Digital Twin.
Proceedings of the 25th International Conference on Automation and Computing, 2019

A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Improving the quality of service in network-based control systems.
Trans. Inst. Meas. Control, 2018

An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm.
Swarm Evol. Comput., 2018

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm.
Neural Comput. Appl., 2018

MOSCAP compensation of three-stage operational amplifiers: Sensitivity and robustness, modeling and analysis.
Integr., 2018

Type-2 fuzzy elliptic membership functions for modeling uncertainty.
Eng. Appl. Artif. Intell., 2018

2017
Improving the Speed of Center of Sets Type Reduction in Interval Type-2 Fuzzy Systems by Eliminating the Need for Sorting.
IEEE Trans. Fuzzy Syst., 2017

Novel Levenberg-Marquardt based learning algorithm for unmanned aerial vehicles.
Inf. Sci., 2017

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS.
Appl. Soft Comput., 2017

A novel complexity reduced Levenberge-Marquardt algorithm: Application to the training of interval type-2 fuzzy systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Guaranteed cost adaptive sliding mode fuzzy control systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
COOA: Competitive optimization algorithm.
Swarm Evol. Comput., 2016

Model reference fractional order control using type-2 fuzzy neural networks structure: Implementation on a 2-DOF helicopter.
Neurocomputing, 2016

Optimal design of adaptive type-2 neuro-fuzzy systems: A review.
Appl. Soft Comput., 2016

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fuzzy reference model for adaptive indirect Takagi-Sugeno model reference control.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Maclaurin series expansion complexity-reduced center of sets type-reduction + defuzzification for interval type-2 fuzzy systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Recurrent interval type-2 neuro-fuzzy control of an electro hydraulic servo system.
Proceedings of the IEEE 14th International Workshop on Advanced Motion Control, 2016

Adaptive direct fuzzy control of SISO nonlinear systems using a fuzzy reference model.
Proceedings of the 3rd International Conference on Advances in Computational Tools for Engineering Applications, 2016

2015
Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study.
IEEE Trans. Ind. Electron., 2015

Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay.
IEEE Trans. Fuzzy Syst., 2015

Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions.
IEEE Trans. Cybern., 2015

Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor.
Expert Syst. Appl., 2015

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Optimal sliding mode type-2 TSK fuzzy control of a 2-DOF helicopter.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Levenberg-Marquardt training method for Type-2 fuzzy neural networks and its stability analysis.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Stabilization of type-2 fuzzy Takagi-Sugeno-Kang identifier using Lyapunov functions.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Neural Networks for Normative Knowledge Source of Cultural Algorithm.
Int. J. Comput. Intell. Syst., 2014

2013
Observer-based indirect model reference fuzzy control system with application to control of chaotic systems.
J. Frankl. Inst., 2013

Sliding mode type-2 fuzzy control of robotic arm using ellipsoidal membership functions.
Proceedings of the 9th Asian Control Conference, 2013

2012
Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and Its Experimental Evaluation.
IEEE Trans. Ind. Electron., 2012

Control and synchronization of chaotic systems using a novel indirect model reference fuzzy controller.
Soft Comput., 2012

Statistical results to show the superiority of type two fuzzy logic systems over type one counterparts under noisy conditions.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

2011
Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Direct Model Reference Takagi-Sugeno Fuzzy Control of SISO Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2011

Levenberg marquardt algorithm for the training of type-2 fuzzy neuro systems with a novel type-2 fuzzy membership function.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

A novel training method based on variable structure systems theory for fuzzy neural networks.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011

2010
Subspace identification of dynamical neurofuzzy system using LOLIMOT.
Proceedings of the IEEE International Conference on Systems, 2010

Identification of interval fuzzy models using recursive least square method.
Proceedings of the IEEE International Conference on Systems, 2010

2009
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods.
Appl. Soft Comput., 2009


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