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Mojtaba Ahmadiehkhanesar

Research Fellow, Faculty of Engineering

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Biography

Dr M. Ahmadieh Khanesar is a research fellow with the Mechanical, Materials and Manufacturing Engineering in the Faculty of Engineering, University of Nottingham, UK. He has held research and teaching positions in the Denmark, Turkey, Iran and United Kingdom. His primary research focus has been on intelligent nonlinear control system design and intelligent optimization methods. More specifically, he has worked on sliding mode fuzzy controllers, model reference adaptive fuzzy control systems and back-stepping based nonlinear control methods. On the other hand, in the case of optimization algorithms, he has done some works on swarm based optimization techniques. Current and previous projects include: human-machine collaboration and reskilling robots to be able to perform new tasks in a factory with continously changing products; design of a fast industrial dynamic weighing system.

Since 2016, he is a senior member of IEEE. In 2013, his paper got top ten paper award from International Symposium on Industrial Electronics. He is also active in international conferences and served as an international program commitee member of several international conferences including IEEE conference on system, man and cybernetics, IEEE International Conference on Fuzzy Systems, International Conference on Big Data Analytics and Computational Intelligence and some other conferences.

Expertise Summary

Experienced Postdoc with a demonstrated history of working in the research industry. Skilled in Robotics, Mathematical Modeling, Numerical Simulation, Statistical Modeling, C++, and Control Systems Design. Strong research professional with a Doctor of Philosophy (PhD) focused in System Identification, Mechatronics, Robotics, and Automation Engineering from K. N. Toosi University of Tech.. I am expert on: Automatic control • Robotics. • Artifitial intelligence. • Adaptive Control Systems. • Nonlinear Control Systems. • Experience on modeling, identification and parameter estimation. • Good knowledge on PI/PID, Adaptive Control, and Kalman Filter. • Strong knowledge of advanced control theory. Technical skills • Good experiences on MATLAB/SIMULINK, Keil. • Very good at electronic circuit design and PCB layout construction. • Proficient on PCB design using Orcad, Proteus, Altium designer. • Good teaching (near 5 years as an assistant professor) • Good Scientific record and academic writing skills, mastering in Latex and office software packages. • Strong interpersonal and communication skills to present findings at meetings. • Good team working skill, independent research and initiative.

Recent Publications

  • KAYACAN, ERDAL, SARABAKHA, ANDRIY, COUPLAND, SIMON, JOHN, ROBERT and KHANESAR, MOJTABA AHMADIEH, 2018. Type-2 fuzzy elliptic membership functions for modeling uncertainty Engineering Applications of Artificial Intelligence. 70, 170-183
  • DANAIE, MOHAMMAD, RANJBAR, ESMAEEL and KHANESAR, MOJTABA AHMADIEH, 2018. MOSCAP compensation of three-stage operational amplifiers: Sensitivity and robustness, modeling and analysis Integration.
  • MAHMOUDIAN, ALI, NIASATI, MOHSEN and KHANESAR, MOJTABA AHMADIEH, 2017. Multi objective optimal allocation of fault current limiters in power system International Journal of Electrical Power & Energy Systems. 85, 1-11
  • KHANESAR, MOJTABA AHMADIEH, KHAKSHOUR, ALIREZA JALALIAN, KAYNAK, OKYAY and GAO, HUIJUN, 2017. Improving the Speed of Center of Sets Type Reduction in Interval Type-2 Fuzzy Systems by Eliminating the Need for Sorting IEEE Transactions on Fuzzy Systems. 25(5), 1193-1206
  • HASSAN, SAIMA, KHANESAR, MOJTABA AHMADIEH, JAAFAR, JAFREEZAL and KHOSRAVI, ABBAS, 2017. Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS Applied Soft Computing. 51, 130-144
  • KAYACAN, ERDAL, KHANESAR, MOJTABA AHMADIEH, RUBIO-HERVAS, JAIME and REYHANOGLU, MAHMUT, 2017. Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks International Journal of Aerospace Engineering. 2017,
  • ESBATI, M, KHANESAR, M AHMADIEH and SHAHZADI, ALI, 2017. Modeling level change in Lake Urmia using hybrid artificial intelligence approaches Theoretical and Applied Climatology. 1-12
  • SARABAKHA, ANDRIY, IMANBERDIYEV, NURSULTAN, KAYACAN, ERDAL, KHANESAR, MOJTABA AHMADIEH and HAGRAS, HANI, 2017. Novel Levenberg-Marquardt based learning algorithm for unmanned aerial vehicles Information Sciences. 417, 361-380
  • ESBATI, M, KHANESAR, MA and SHAHZADI, A, 2017. Improving the quality of service in network-based control systems Transactions of the Institute of Measurement and Control. 0142331217714863
  • KHANESAR, MOJTABA AHMADIEH and HOSSEINI, MESHKAT, 2017. Guaranteed cost adaptive sliding mode fuzzy control systems In: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on. 1-5
  • KHANESAR, MOJTABA AHMADIEH and KAYACAN, ERDAL, 2017. A novel complexity reduced Levenberge-Marquardt algorithm: Application to the training of interval type-2 fuzzy systems In: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on. 1-6
  • KAYACAN, ERDAL, COUPLAND, SIMON, JOHN, ROBERT and KHANESAR, MOJTABA AHMADIEH, 2017. Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction In: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on. 1-7
  • CAMCI, EFE, KRIPALANI, DEVESH RAJU, MA, LINLU, KAYACAN, ERDAL and KHANESAR, MOJTABA AHMADIEH, 2017. 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 and Evolutionary Computation.
  • KHAKSHOUR, ALIREZA JALALIAN and KHANESAR, MOJTABA AHMADIEH, 2016. Model reference fractional order control using type-2 fuzzy neural networks structure: Implementation on a 2-DOF helicopter Neurocomputing. 193, 268-279
  • HASSAN, SAIMA, KHOSRAVI, ABBAS, JAAFAR, JAFREEZAL and KHANESAR, MOJTABA AHMADIEH, 2016. A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting International Journal of Electrical Power & Energy Systems. 82, 1-10
  • HASSAN, SAIMA, KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, JAAFAR, JAFREEZAL and KHOSRAVI, ABBAS, 2016. Optimal design of adaptive type-2 neuro-fuzzy systems: A review Applied Soft Computing. 44, 134-143
  • SHARAFI, YOUSEF, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2016. COOA: Competitive optimization algorithm Swarm and Evolutionary Computation. 30, 39-63
  • TAHMASEBI, SANAZ, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2016. Fuzzy reference model for adaptive indirect Takagi-Sugeno model reference control In: Networking, Sensing, and Control (ICNSC), 2016 IEEE 13th International Conference on. 1-6
  • KHANESAR, MOJTABA AHMADIEH, ONIZ, YESIM, KAYNAK, OKYAY and GAO, HUIJUN, 2016. Direct model reference adaptive fuzzy control of networked SISO nonlinear systems IEEE/ASME Transactions on Mechatronics. 21(1), 205-213
  • KHANESAR, MOJTABA AHMADIEH and KAYNAK, OKYAY, 2016. Recurrent interval type-2 neuro-fuzzy control of an electro hydraulic servo system In: Advanced Motion Control (AMC), 2016 IEEE 14th International Workshop on. 593-600
  • HASSAN, SAIMA, KHANESAR, MOJTABA AHMADIEH, JAAFAR, JAFREEZAL and KHOSRAVI, ABBAS, 2016. Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm Neural Computing and Applications. 1-14
  • KAYACAN, ERDAL and KHANESAR, MOJTABA AHMADIEH, 2016. Recurrent Interval Type-2 Fuzzy Control of 2-DOF Helicopter With Finite Time Training Algorithm IFAC-PapersOnLine. 49(13), 293-299
  • KHANESAR, MOJTABA AHMADIEH, 2016. A Novel Direct Model Reference Fuzzy Control Approach Based on Observer and Its Applications IFAC-PapersOnLine. 49(13), 318-323
  • TAHMASEBI, SANAZ, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2016. Adaptive direct fuzzy control of SISO nonlinear systems using a fuzzy reference model In: Advances in Computational Tools for Engineering Applications (ACTEA), 2016 3rd International Conference on. 93-98
  • SHARAFI, YOUSEF, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2016. Swarm and Evolutionary Computation
  • KHANESAR, MOJTABA AHMADIEH and MENDEL, JERRY M, 2016. Maclaurin series expansion complexity-reduced center of sets type-reduction+ defuzzification for interval type-2 fuzzy systems In: Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on. 1224-1231
  • HASSAN, SAIMA, JAAFAR, JAFREEZAL, KHANESAR, MOJTABA A and KHOSRAVI, ABBAS, 2016. Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data In: Computer and Information Sciences (ICCOINS), 2016 3rd International Conference on. 334-339
  • HASSAN, SAIMA, KHANESAR, MOJTABA A, JAAFAR, JAFREEZAL and KHOSRAVI, ABBAS, 2016. A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems In: Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on. 000155-000160
  • NASIRIAN, ARMAN and KHANESAR, MOJTABA AHMADIEH, 2016. Sliding mode fuzzy rule base bilateral teleoperation control of 2-DOF SCARA system In: Automatic Control and Dynamic Optimization Techniques (ICACDOT), International Conference on. 7-12
  • SHIRKHANI, N, KHANESAR, M AHMADIEH and TESHNEHLAB, M, 2016. Indirect model reference fuzzy control of SISO fractional order nonlinear chaotic systems Procedia Computer Science. 102, 309-316
  • SALEHI, MAHDI, KHANESAR, MOJTABA AHMADIEH and FARIVAR, FAEZEH, 2016. Model of car wing active control in order to increase stability of the car on corners of roads In: Automatic Control and Dynamic Optimization Techniques (ICACDOT), International Conference on. 1115-1119
  • ZANGENEH, ALLAHYAR ZOHOORI, TESHNEHLAB, MOHAMMAD and KHANESAR, MOJTABA AHMADIEH, 2016. Proposing Interval Activation Functions in Radial Basis Function Neural Network to Predict Nonlinear Dynamic Systems Journal of Control. 9(4),
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, REYHANOGLU, MAHMUT and KAYNAK, OKYAY, 2015. Feedback error learning control of magnetic satellites using type-2 fuzzy neural networks with elliptic membership functions IEEE transactions on cybernetics. 45(4), 858-868
  • KHANESAR, MOJTABA AHMADIEH and KAYACAN, ERDAL, 2015. Controlling the pitch and yaw angles of a 2-dof helicopter using interval type-2 fuzzy neural networks. In: Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics Springer, Cham. 349-370
  • FALLAH, ZEINAB, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2015. Design of a hierarchical fuzzy model predictive controller International Journal of Engineering & Technology. 4(2), 342-349
  • MASUMPOOR, SALEH, KHANESAR, MOJTABA AHMADIEH and OTHERS, 2015. Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor Expert Systems with Applications. 42(19), 6635-6647
  • HASSAN, SAIMA, KHOSRAVI, ABBAS, JAAFAR, JAFREEZAL and KHANESAR, MOJTABA AHMADIEH, 2015. Hybrid model for the training of interval type-2 fuzzy logic system In: International Conference on Neural Information Processing. 644-653
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL and KAYNAK, OKYAY, 2015. Optimal sliding mode type-2 tsk fuzzy control of a 2-dof helicopter In: Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on. 1-6
  • KHANESAR, MOJTABA AHMADIEH and KAYACAN, ERDAL, 2015. Levenberg-marquardt training method for type-2 fuzzy neural networks and its stability analysis In: Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on. 1-7
  • KAYACAN, ERDAL, KHANESAR, MOJTABA AHMADIEH and KAYACAN, ERKAN, 2015. Stabilization of type-2 fuzzy Takagi-Sugeno-Kang identifier using Lyapunov functions In: Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on. 1-6
  • KAYACAN, ERDAL and KHANESAR, MOJTABA AHMADIEH, 2015. Fuzzy neural networks for real time control applications: concepts, modeling and algorithms for fast learning
  • KHANESAR, MOJTABA AHMADIEH, KAYNAK, OKYAY and GAO, HUIJUN, 2014. Improved karnik-mendel algorithm: Eliminating the need for sorting In: Mechatronics and Control (ICMC), 2014 International Conference on. 204-209
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, KAYNAK, OKYAY and SAEYS, WOUTER, 2013. Sliding mode type-2 fuzzy control of robotic arm using ellipsoidal membership functions In: Control Conference (ASCC), 2013 9th Asian. 1-6
  • AZAD, ALIREZA ZARIF KHORAMDEL, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2013. Type-2 Fuzzy neural networks for sliding mode Fuzzy control of nonlinear dynamical systems with adaptive learning rate In: Computer, Control & Communication (IC4), 2013 3rd International Conference on. 1-6
  • SHARAFI, YOUSEF, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2013. Discrete binary cat swarm optimization algorithm In: Computer, Control & Communication (IC4), 2013 3rd International Conference on. 1-6
  • REZAIE, NOOSHIN, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2013. Estimation of the parameters of wavelet neural networks using simultaneous use of genetic algorithm and recursive least square In: Computer, Control & Communication (IC4), 2013 3rd International Conference on. 1-6
  • FALLAH, ZEINAB, KHANESAR, MOJTABA AAHMADIEH and TESHNEHLAB, MOHAMMAD, 2013. Hierarchical fuzzy identification using gradient descent and recursive least square method In: computer, control & communication (ic4), 2013 3rd international conference on. 1-5
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2012. Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation IEEE Transactions on Industrial Electronics. 59(11), 4443-4455
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2012. Control and synchronization of chaotic systems using a novel indirect model reference fuzzy controller Soft Computing. 16(7), 1253-1265
  • KHANESAR, MOJTABA AHMADIEH, KAYNAK, O. and TESHNEHLAB, M, 2012. Statistical results to show the superiority of type two fuzzy logic systems over type one counterparts under noisy conditions In: Industrial Electronics (ISIE), 2012 IEEE International Symposium on. 905-910
  • AZAD, ALIREZA ZARIF KHORAMDEL, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2012. Training fuzzy neural networks using sliding mode theory with adaptive learning rate In: System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on. 127-132
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2012. Observer-based indirect model reference fuzzy control system with application to control of chaotic systems Journal of the Franklin Institute. 350(3), 419-436
  • KHANESAR, MOJTABA AHMADIEH, KAYNAK, OKYAY and TESHNEHLAB, MOHAMMAD, 2011. Direct model reference Takagi-Sugeno fuzzy control of SISO nonlinear systems IEEE Transactions on fuzzy systems. 19(5), 914-924
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2011. Analysis of the noise reduction property of type-2 fuzzy logic systems using a novel type-2 membership function IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 41(5), 1395-1406
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2011. Levenberg marquardt algorithm for the training of type-2 fuzzy neuro systems with a novel type-2 fuzzy membership function In: Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on. 88-93
  • CIGDEM, OZKAN, KAYACAN, ERDAL, KHANESAR, MOJTABA AHMADIEH, KAYNAK, OKYAY and TESHNEHLAB, MOHAMMAD, 2011. A novel training method based on variable structure systems theory for fuzzy neural networks In: Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on. 44-51
  • KHANESAR, MOJTABA AHMADIEH, KAYACAN, ERDAL, KAYNAK, OKYAY and TESHNEHLAB, MOHAMMAD, 2011. An online training algorithm based on the fusion of sliding mode control theory and fuzzy neural networks with triangular membership functions In: Control Conference (ASCC), 2011 8th Asian. 617-622
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2011. Model reference fuzzy control of nonlinear dynamical systems using an optimal observer Acta Polytechnica Hungarica. 8(4), 35-54
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD, KAYACAN, ERDAL and KAYNAK, OKYAY, 2010. A novel type-2 fuzzy membership function: Application to the prediction of noisy data In: Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on. 128-133
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and KAYNAK, OKYAY, 2010. Identification of interval fuzzy models using recursive least square method In: Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on. 4362-4368
  • MOLA, MAHMOOD, KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2010. Subspace identification of dynamical neurofuzzy system using LOLIMOT In: Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on. 366-372
  • SHOOREHDELI, MAHDI ALIYARI, TESHNEHLAB, MOHAMMAD, SEDIGH, ALI KHAKI and KHANESAR, M AHMADIEH, 2009. Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods Applied Soft Computing. 9(2), 833-850
  • EFTEKHARI, ARMIN, KHANESAR, MOJTABA AHMADIEH, FOROUZANFAR, MOHAMAD and TESHNEHLAB, MOHAMMAD, 2009. Incremental Locally Linear Fuzzy Classifier. In: Applications of Soft Computing Springer, Berlin, Heidelberg. 305-314
  • KHANESAR, MOJTABA AHMADIEH and TESHNEHLAB, MOHAMMAD, 2008. Direct stable adaptive fuzzy neural model reference control of a class of nonlinear systems In: Innovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on. 512-512
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and SHOOREHDELI, MAHDI ALIYARI, 2007. A novel binary particle swarm optimization In: Control & Automation, 2007. MED'07. Mediterranean Conference on. 1-6
  • KHANESAR, MOJTABA AHMADIEH, TESHNEHLAB, MOHAMMAD and SHOOREHDELI, MAHDI ALIYARI, 2007. Sliding mode control of rotary inverted pendulm In: Control & Automation, 2007. MED'07. Mediterranean Conference on. 1-6
  • KHANESAR, MOJTABA AHMADIEH, SHOOREHDELI, MAHDI ALIYARI and TESHNEHLAB, MOHAMMAD, 2007. Hybrid training of recurrent fuzzy neural network model In: Mechatronics and Automation, 2007. ICMA 2007. International Conference on. 2598-2603
  • KHANESAR, M AHMADIEH, TESHNEHLAB, M and SHOOREHDELI, M ALIYARI, 2007. Fuzzy sliding mode control of rotary inverted pendulum In: Computational Cybernetics, 2007. ICCC 2007. IEEE International Conference on. 57-62
  • GHOMSHEH, V SEYDI, KHANEHSAR, M AHMADIEH and TESHNEHLAB, M, 2007. Improving the non-dominate sorting genetic algorithm for multi-objective optimization In: Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on. 89-92
  • KAYACAN, E., KAYACAN, E. and KHANESAR, M.A., Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks�A Novel Learning Algorithm and a Comparative Study Industrial Electronics, IEEE Transactions on. 62(3), 1716-1724
  • KHANESAR, M.A., KAYNAK, O., YIN, SHEN and GAO, HUIJUN, Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay Fuzzy Systems, IEEE Transactions on. 23(1), 205-214

Advanced Manufacturing Technology Research Group

The University of Nottingham
Faculty of Engineering
The University of Nottingham
University Park
Nottingham, NG7 2RD



email:AdvManufacturing@nottingham.ac.uk