Javad Asghari

Javad Asghari

PhD Candidate in Aerospace Engineering | Intelligent Control Systems Researcher

About Me

I am Javad Asghari, a PhD candidate in flight dynamics and control engineering at K. N. Toosi University of Technology. My research is centred on intelligent control allocation for over-actuated systems, utilising Fuzzy Systems, Neural Networks, and Game Theory, with a focus on practical applications in aerospace and renewable energy.

Beyond research, I am passionate about mentoring students and collaborating with interdisciplinary teams to solve complex problems using intelligent approaches.

Feel free to connect with me for potential collaborations or to discuss research in Intelligent Control Systems, Control Allocation, Over-actuated Systems, Trajectory Tracking, and Game Theory.

Education

PhD in Aerospace Engineering

2022 - Present

Institute of Intelligent Control Systems, K. N. Toosi University of Technology, Tehran, Iran

Focus: Intelligent Control Allocation Algorithm for Over-Actuated Systems Under Input Saturation Constraints

MSc in Aerospace Engineering

2018 - 2021

Aerospace Engineering Department, Sharif University of Technology, Tehran, Iran

Thesis: A model predictive guidance law based on differential game theory in the trajectory tracking problem by a fixed-wing UAV

BSc in Aerospace Engineering

2014 - 2018

Aerospace Engineering Department, Urmia University of Technology, Urmia, Iran

Project: Modelling of two-dimensional elastic behaviour using a lattice spring model

Professional Experience

Research Assistant

2021 - 2022

Aerospace Engineering Department, Sharif University of Technology

  • Developing a state-space model of wind turbine tower dynamics using the Finite Difference Method (FDM)
  • Design a Model Predictive Control (MPC) strategy to actively mitigate tower top vibrations, demonstrating significant vibration reduction while maintaining structural safety constraints

Teaching Assistant

2022 - Present

Aerospace Engineering Department, K. N. Toosi University of Technology, Tehran, Iran

  • Automatic Control: Taught classical control fundamentals—including the Routh-Hurwitz stability criterion, Root-Locus analysis, and state-space modelling—to over 100 undergraduate students, with hands-on lab sessions on PID tuning.
  • Control Systems Design: Designed course materials on optimal control, noise analysis, actuator dynamics, and Kalman filtering, with applications in satellite and quadrotor dynamics.

Publications

A Fuzzy-PLOS Guidance Law for Precise Trajectory Tracking of a UAV in the Presence of Wind
Nobahari, H., Javad Asghari
J Intell Robot Syst 105, 18 (2022)
DOI
Optimal controllability and allocation design of a blended wing body aircraft
Khadiv, M., Tayefi, M., Javad Asghari, Ghorghi, D.
Aircraft Engineering and Aerospace Technology, Vol. 97 No. 5, pp. 624-635 (2025)
DOI
Feedback-Optimizing Heuristic Model Predictive Control Applied to a Wind Turbine for Suppressing the Tower Vibrations
Alireza Sharifi, Javad Asghari
International Journal of Information Acquisition (2023)
DOI
See All Publications

Research Interests

Intelligent Control Systems
92%
Game Theory
85%
Control Allocation
100%
Over-actuated Systems
100%
Model Predictive Control
70%
Fuzzy Systems
70%
Optimal Control
60%
Renewable Energies
80%
Path Following
100%

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