H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 54 Citations 9,648 319 World Ranking 916 National Ranking 428
Mechanical and Aerospace Engineering H-index 53 Citations 9,518 306 World Ranking 318 National Ranking 166

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to control with applications to aerospace and robotic systems

Overview

What is she best known for?

The fields of study she is best known for:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

Her scientific interests lie mostly in Control theory, Adaptive control, Control theory, Control engineering and Nonlinear system. Her Control theory research includes themes of Artificial neural network and Bounded function. Her research in Adaptive control intersects with topics in Linear system, Robust control, Open-loop controller, Transient response and Adaptive system.

Her work deals with themes such as Tracking, Remotely operated underwater vehicle, Aerodynamics and Uniform boundedness, which intersect with Control theory. The study incorporates disciplines such as Stability, Actuator and Adaptation in addition to Control engineering. The various areas that she examines in her Nonlinear system study include Observer, Minimum phase, State and Approximations of π.

Her most cited work include:

  • Adaptive output feedback control of nonlinear systems using neural networks (396 citations)
  • Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance (313 citations)
  • L1 Adaptive Control Theory: Guaranteed Robustness with Fast Adaptation (306 citations)

What are the main themes of her work throughout her whole career to date?

Naira Hovakimyan spends much of her time researching Control theory, Adaptive control, Control theory, Control engineering and Nonlinear system. Her Control theory study incorporates themes from Artificial neural network and Bounded function. Her Adaptive control research is multidisciplinary, relying on both Nonlinear control, Linear system, Robust control, Robustness and Uniform boundedness.

Her research integrates issues of Stability, Tracking, Adaptation, Transient response and Trajectory in her study of Control theory. Her study in Control engineering is interdisciplinary in nature, drawing from both Control, Actuator and Reference model. Nonlinear system is frequently linked to Observer in her study.

She most often published in these fields:

  • Control theory (66.37%)
  • Adaptive control (44.99%)
  • Control theory (29.62%)

What were the highlights of her more recent work (between 2018-2021)?

  • Control theory (66.37%)
  • Adaptive control (44.99%)
  • Control (10.91%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Control theory, Adaptive control, Control, Artificial intelligence and Control theory. Phase synchronization is closely connected to Propeller in her research, which is encompassed under the umbrella topic of Control theory. Her studies in Adaptive control integrate themes in fields like Stability, Linear matrix inequality and Robustness.

Her biological study spans a wide range of topics, including Control engineering, Spoofing attack, Lyapunov function and State. Naira Hovakimyan has included themes like Machine learning and Computer vision in her Artificial intelligence study. The concepts of her Control theory study are interwoven with issues in Envelope, Heading and Filter.

Between 2018 and 2021, her most popular works were:

  • Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis (14 citations)
  • Modeling yield response to crop management using convolutional neural networks (13 citations)
  • Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis (8 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Mathematical analysis

The scientist’s investigation covers issues in Control theory, Adaptive control, Artificial intelligence, Computer vision and Control system. Her Control theory study combines topics from a wide range of disciplines, such as Propeller, State and Phase synchronization. Control theory and Nonlinear system are all intrinsically tied to her study in Adaptive control.

Her Nonlinear system research includes elements of Robot, Motion planning, State and Trajectory. Her Artificial intelligence research incorporates elements of Machine learning and Position. Her studies deal with areas such as Representation and Distributed computing as well as Control system.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Adaptive output feedback control of nonlinear systems using neural networks

Anthony J. Calise;Naira Hovakimyan;Moshe Idan.
Automatica (2001)

543 Citations

L1 Adaptive Control Theory: Guaranteed Robustness with Fast Adaptation

Naira Hovakimyan;Chengyu Cao.
(2010)

468 Citations

Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks

N. Hovakimyan;F. Nardi;A. Calise;Nakwan Kim.
IEEE Transactions on Neural Networks (2002)

379 Citations

Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance

Chengyu Cao;N. Hovakimyan.
IEEE Transactions on Automatic Control (2008)

368 Citations

Design and Analysis of a Novel L1 Adaptive Controller, Part I: Control Signal and Asymptotic Stability

Chengyu Cao;N. Hovakimyan.
american control conference (2006)

246 Citations

Design and Analysis of a Novel L1 Adaptive Controller, Part II: Guaranteed Transient Performance

Chengyu Cao;N. Hovakimyan.
american control conference (2006)

182 Citations

Dynamic inversion for nonaffine-in-control systems via time-scale separation: part I

N. Hovakimyan;E. Lavretsky;A.J. Sasane.
american control conference (2005)

163 Citations

Stability Margins of ${\cal L}_{1}$ Adaptive Control Architecture

Chengyu Cao;N. Hovakimyan.
IEEE Transactions on Automatic Control (2010)

143 Citations

Experimental results on adaptive output feedback control using a laboratory model helicopter

A.T. Kutay;A.J. Calise;M. Idan;N. Hovakimyan.
IEEE Transactions on Control Systems and Technology (2005)

142 Citations

Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees

T. Hayakawa;W.M. Haddad;N. Hovakimyan.
IEEE Transactions on Neural Networks (2008)

138 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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