What is she best known for?
The fields of study Naira Hovakimyan is best known for:
- Missile
- Missile guidance
- Nonlinear control
Her Control theory (sociology) study frequently draws connections to adjacent fields such as Control (management).
Her research combines Tracking error and Control (management).
Naira Hovakimyan regularly ties together related areas like Nonlinear system in her Tracking error studies.
She integrates Nonlinear system and Lyapunov function in her studies.
Her Artificial intelligence study frequently links to other fields, such as Actuator.
Actuator and Artificial intelligence are commonly linked in her work.
She undertakes interdisciplinary study in the fields of Adaptive control and Control engineering through her research.
Naira Hovakimyan integrates Control engineering and Adaptive control in her research.
Her Quantum mechanics study frequently intersects with other fields, such as Lyapunov function.
Her most cited work include:
- Adaptive output feedback control of nonlinear systems using neural networks (408 citations)
- Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance (328 citations)
- Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks (298 citations)
What are the main themes of her work throughout her whole career to date
Her Artificial intelligence investigation overlaps with other areas such as Artificial neural network, Control system and Algorithm.
In her works, Naira Hovakimyan undertakes multidisciplinary study on Artificial neural network and Adaptive control.
Naira Hovakimyan integrates Control system with Electrical engineering in her research.
Naira Hovakimyan connects Electrical engineering with Control engineering in her research.
Naira Hovakimyan performs integrative study on Control engineering and Adaptive control in her works.
She conducted interdisciplinary study in her works that combined Algorithm and Artificial intelligence.
Her research brings together the fields of Control theory (sociology) and Control (management).
Much of her study explores Control theory (sociology) relationship to Control (management).
The study of Quantum mechanics is intertwined with the study of Lyapunov function in a number of ways.
Naira Hovakimyan most often published in these fields:
- Artificial intelligence (91.00%)
- Control (management) (85.00%)
- Control theory (sociology) (78.00%)
What were the highlights of her more recent work (between 2019-2022)?
- Artificial intelligence (80.00%)
- Control (management) (60.00%)
- Control theory (sociology) (50.00%)
In recent works Naira Hovakimyan was focusing on the following fields of study:
In her study, Linear matrix inequality and Minification is strongly linked to Mathematical optimization, which falls under the umbrella field of Optimal control.
Her Minification study frequently draws connections to other fields, such as Mathematical optimization.
Artificial intelligence and Motion (physics) are commonly linked in her work.
Her Control (management) study typically links adjacent topics like Control theory (sociology).
Control theory (sociology) and Control (management) are commonly linked in her work.
Her Lyapunov function research extends to the thematically linked field of Quantum mechanics.
Her research brings together the fields of Quantum mechanics and Lyapunov function.
She undertakes multidisciplinary investigations into Nonlinear system and Linear system in her work.
She undertakes interdisciplinary study in the fields of Linear system and Nonlinear system through her research.
Between 2019 and 2022, her most popular works were:
- Modeling yield response to crop management using convolutional neural networks (44 citations)
- Novel Stealthy Attack and Defense Strategies for Networked Control Systems (22 citations)
- Adaptive control for linear parameter-varying systems with application to a VTOL aircraft (10 citations)
In her most recent research, the most cited works focused on:
- Adaptive control
- Agriculture
- Artificial neural network
Her multidisciplinary approach integrates Control system and Control engineering in her work.
In her articles, she combines various disciplines, including Control engineering and Control system.
She conducts interdisciplinary study in the fields of Electrical engineering and Transient response through her research.
She conducted interdisciplinary study in her works that combined Transient response and Electrical engineering.
She performs multidisciplinary study on Programming language and Initialization in her works.
By researching both Machine learning and Random forest, she produces research that crosses academic boundaries.
She integrates many fields, such as Crop yield and Agronomy, in her works.
In her research, she performs multidisciplinary study on Agronomy and Agriculture.
Naira Hovakimyan integrates several fields in her works, including Agriculture and Precision agriculture.
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