Mohammad Saleh Tavazoei

ORCID: 0000-0002-5428-0816
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Research Areas
  • Advanced Control Systems Design
  • Fractional Differential Equations Solutions
  • Chaos control and synchronization
  • Extremum Seeking Control Systems
  • Control Systems and Identification
  • Advanced Control Systems Optimization
  • Stability and Control of Uncertain Systems
  • Nonlinear Dynamics and Pattern Formation
  • Quantum chaos and dynamical systems
  • Neural Networks Stability and Synchronization
  • Numerical methods for differential equations
  • Adaptive Control of Nonlinear Systems
  • Distributed Control Multi-Agent Systems
  • Advanced Differential Equations and Dynamical Systems
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Iterative Learning Control Systems
  • Chaos-based Image/Signal Encryption
  • Fault Detection and Control Systems
  • stochastic dynamics and bifurcation
  • Control and Stability of Dynamical Systems
  • Gene Regulatory Network Analysis
  • Magnetic Bearings and Levitation Dynamics
  • Advancements in PLL and VCO Technologies
  • Sensor Technology and Measurement Systems
  • Matrix Theory and Algorithms

Sharif University of Technology
2016-2025

Graduate University of Advanced Technology
2024

Shiraz University
2018-2023

Northeastern University
2016

10.1016/j.matcom.2008.07.003 article EN Mathematics and Computers in Simulation 2008-07-24

10.1016/j.physa.2007.08.039 article EN Physica A Statistical Mechanics and its Applications 2007-09-07

The effects of using frequency-domain approximation in numerical simulation fractional-order systems are analytically studied. main aim the study is to determine number, location and stability property equilibriums a system its frequency-based approximating counterpart. comparison shows that original may differ from each other some or all issues considered study. Unfortunately, these differences can lead wrong consequences special cases such as detecting chaos systems. It shown methods...

10.1049/iet-spr:20070053 article EN IET Signal Processing 2007-12-06

This paper presents two different stabilization methods based on the fractional-calculus theory. The first method is proposed via using fractional differentiator, and other constructed integrator. It has been shown that techniques can be used to suppress chaotic oscillations in 3-D systems. To show practical capability of methods, some experimental results control chaos circuits are presented.

10.1109/tie.2008.925774 article EN IEEE Transactions on Industrial Electronics 2008-11-01

This paper is devoted to the analysis of fractional order Van der Pol system studied in literature. Based on existing theorems stability incommensurate systems, we determine parametric range for which a with specific can perform as an undamped oscillator. Numerical simulations are presented support given analytical results. These results also illuminate main difference between oscillations oscillator and its integer counterpart. We show that contrary case, trajectories do not converge unique cycle.

10.1177/1077546308096101 article EN Journal of Vibration and Control 2009-02-13

This study deals with a generalised version of lead/lag compensators known as fractional‐order compensators. Exact and simple formulas are found for designing this introduced type in order to provide the required magnitude phase at given frequency. Also, region phase‐magnitude plane, which is accessible by these compensators, analytically found. Moreover, numerical examples experimental results presented show applicability achievements control system design.

10.1049/iet-cta.2013.0138 article EN other-oa IET Control Theory and Applications 2014-03-01

Proportional-integral (PI) controllers are the most common form of feedback used in industrial applications today [1][3]. The use proportional and integral also has a long history practical [4]. For example, middle 18th century, centrifugal governors as were applied to regulate speed windmills [5]. By 19th it was known that using could remove offsets appearing working with [6]. At present, PI control, still very basic feedback, is one first solutions often considered control systems [7]. On...

10.1109/mie.2012.2207818 article EN IEEE Industrial Electronics Magazine 2012-09-01

Phase-locked loops (PLLs) are nonlinear automatic control circuits widely used in telecommunications, computer architecture, gyroscopes, and other applications. One of the key problems analysis PLL systems has been stated by Floyd M. Gardner as being "to define exactly any unique lock-in frequency." The range concept describes ability PLLs to reacquire a locked state without cycle slipping its calculation requires analysis. present work analyzes second-order type 2 phase-locked loop with...

10.1109/tac.2023.3277896 article EN cc-by-nc-nd IEEE Transactions on Automatic Control 2023-05-19

In this paper, conditions for checking the realizability of fractional-order impedance functions by passive networks composed a fractional element (either capacitor or inductor) and some RLC components are derived. To end, at first newly obtained network extended to include case that polynomials involving in function can have roots on imaginary axis. Then, necessary sufficient found be realized components. Furthermore, procedure finding realization realizable cases is proposed. Finally,...

10.1109/tcsi.2016.2614249 article EN IEEE Transactions on Circuits and Systems I Regular Papers 2016-11-02

This paper deals with realization of fractional-order impedance functions by passive electrical networks composed a fractional capacitor and some RLC components. The necessary sufficient conditions for the existence such are found in general case. Also described class transfer functions, realizability stated as algebraic on parameters function. Moreover, procedure is proposed implementation Numerical examples presented to show usefulness results design circuits.

10.1109/tcsi.2015.2482340 article EN IEEE Transactions on Circuits and Systems I Regular Papers 2015-10-26

10.1140/epjst/e2020-900238-8 article EN The European Physical Journal Special Topics 2020-03-01

10.1016/j.cam.2006.09.008 article EN Journal of Computational and Applied Mathematics 2006-11-04
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