On the synchronization and stabilization of fractional-order chaotic systems: Recent advances and future perspectives

MA Balootaki, H Rahmani, H Moeinkhah… - Physica A: Statistical …, 2020 - Elsevier
Chaos is one of the most significant findings in physics and engineering. Fractional-order
chaotic systems are nonlinear systems with special features which, some of them include …

Recognition of plant leaf diseases based on computer vision

YA Nanehkaran, D Zhang, J Chen, Y Tian… - Journal of Ambient …, 2020 - Springer
Agriculture is one of the most important sources of income for people in many countries.
However, plant disease issues influence many farmers, as diseases in plants often naturally …

[HTML][HTML] A new predictive energy management system: Deep learned type-2 fuzzy system based on singular value decommission

Y Cao, A Mohammadzadeh, J Tavoosi, S Mobayen… - Energy Reports, 2022 - Elsevier
A new predictive frequency management system is designed for multi-area microgrids
(MGs). The uncertainties are online modeled by a deep learned type-2 (T2) fuzzy-logic …

Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery

B Yildirim, M Gheisarnejad, A Mohammadzadeh… - Journal of Energy …, 2023 - Elsevier
Renewable energy sources (RES)-generated electricity is increasing at a fast pace and is
becoming more prevalent in microgrids (MGs). System inertia is much decreased due to the …

A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation

A Mohammadzadeh, T Kumbasar - Applied Soft Computing, 2020 - Elsevier
In this paper a new robust fractional-order predictive controller is presented and employed to
regulate the glucose level in type-1 diabetes. The dynamics of the system is fully unknown …

Finite time impulsive synchronization of fractional order memristive BAM neural networks

L Zhang, Y Yang - Neurocomputing, 2020 - Elsevier
This paper is concerned with the finite time impulsive synchronization problem of fractional
order memristive BAM neural networks (MBAMNNs) with switching jumps mismatch. By …

A practical type-3 Fuzzy control for mobile robots: predictive and Boltzmann-based learning

AS Alkabaa, O Taylan, M Balubaid, C Zhang… - Complex & Intelligent …, 2023 - Springer
This study presents an innovative path-following scheme using a new intelligent type-3 fuzzy
system for mobile robots. By designing a non-singleton FS and incorporating error …

Dynamics modeling and shift control of a novel spring-based synchronizer for electric vehicles

Y Wang, J Wu, N Zhang, W Mo - Mechanism and Machine Theory, 2022 - Elsevier
This paper investigates the gearshift transient response and the shift control of a new spring-
based synchronizer used in the automated manual transmission (AMT) for electric vehicles …

Optimal design of proportional integral derivative acceleration controller for higher‐order nonlinear time delay system using m‐MBOA technique

J Arulvadivu, S Manoharan… - … Journal of Numerical …, 2022 - Wiley Online Library
In general, the parameter adjustment is used to design the proportional‐integral‐derivative
(PID) controllers. Despite that, to enhance the capacity of control performance by adjusting …

Symmetry in computer-aided music composition system with social network analysis and artificial neural network methods

N Shi, Y Wang - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
To reduce the cost of music creation, shorten the creation time, help composers create music
more easily, and make the style of music works more easily accepted by more people …