A
Ardashir Mohammadzadeh
Researcher at University of Bonab
Publications - 130
Citations - 2092
Ardashir Mohammadzadeh is an academic researcher from University of Bonab. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 17, co-authored 70 publications receiving 671 citations. Previous affiliations of Ardashir Mohammadzadeh include University of Tabriz & K.N.Toosi University of Technology.
Papers
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Robust predictive synchronization of uncertain fractional-order time-delayed chaotic systems
TL;DR: A novel robust predictive control strategy is proposed for the synchronization of fractional-order time-delay chaotic systems using a recurrent non-singleton type-2 fuzzy neural network for the estimation of the unknown functions.
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Fault Estimation for Mode-Dependent IT2 Fuzzy Systems With Quantized Output Signals
Rathinasamy Sakthivel,R. Kavikumar,Ardashir Mohammadzadeh,Oh-Min Kwon,Boomipalagan Kaviarasan +4 more
TL;DR: A new fault estimation technique is proposed, wherein a stochastically intermediate variable subject to the information on operating modes is considered, under which a robust observer is constructed to simultaneously estimate the state and faults.
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Two-mode Indirect Adaptive Control Approach for the Synchronization of Uncertain Chaotic Systems by the Use of a Hierarchical Interval Type-2 Fuzzy Neural Network
TL;DR: This paper presents a two-mode indirect adaptive control approach for the synchronization of chaotic systems, using a hierarchical interval type-2 fuzzy neural network (HT2FNN), and the adaptation laws derived for the parameters of the membership functions, based on Lyapunov stability analysis are presented.
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Energy management in photovoltaic battery hybrid systems: A novel type-2 fuzzy control
TL;DR: A new robust fuzzy control approach to power management in the photovoltaic (PV)-battery hybrid system is presented and results are shown in good performance in the presence of time-varying radiation, changes of temperature and output load variation in comparison with the other well-known control techniques.
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Robust fuzzy control for fractional-order systems with estimated fraction-order
TL;DR: It is shown that the proposed fuzzy control method results in better performance in the presence of unknown fractional-order and unknown perturbed dynamics.