# Anthony J. Calise

## H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 55 Citations 11,159 282 World Ranking 837 National Ranking 397
Mechanical and Aerospace Engineering H-index 56 Citations 11,276 296 World Ranking 251 National Ranking 132

## What is he best known for?

### The fields of study he is best known for:

• Control theory
• Artificial intelligence
• Nonlinear system

His scientific interests lie mostly in Control theory, Artificial neural network, Control engineering, Adaptive control and Nonlinear system. His research in Lyapunov function, Nonlinear control, Control theory, Control system and Actuator are components of Control theory. His Artificial neural network research incorporates elements of Control, Feedback linearization, Flight simulator and Rotor.

His Control engineering research includes elements of Airframe and Aerodynamics, Stability derivatives, Flight control surfaces. The various areas that Anthony J. Calise examines in his Adaptive control study include Feedforward neural network, Tracking error, Bounded function, Reference model and Adaptive system. His Nonlinear system study combines topics in areas such as Autopilot, State and System dynamics.

### His most cited work include:

• Nonlinear flight control using neural networks (532 citations)
• Adaptive output feedback control of nonlinear systems using neural networks (396 citations)
• Nonlinear adaptive flight control using neural networks (307 citations)

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

Anthony J. Calise mainly investigates Control theory, Control engineering, Adaptive control, Artificial neural network and Nonlinear system. His study in Control theory, Control system, Lyapunov function, Robustness and Nonlinear control is carried out as part of his studies in Control theory. His Control engineering research incorporates themes from Control and Actuator.

His Adaptive control study incorporates themes from Reference model, Linear system, Bounded function, System dynamics and Adaptive system. He has researched Artificial neural network in several fields, including Autopilot, Stability, Feedback linearization, Parameterized complexity and Van der Pol oscillator. His work carried out in the field of Nonlinear system brings together such families of science as Observer and Mathematical optimization, Optimal control.

### He most often published in these fields:

• Control theory (79.83%)
• Control engineering (42.90%)

## What were the highlights of his more recent work (between 2006-2019)?

• Control theory (79.83%)
• Control engineering (42.90%)

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

Control theory, Adaptive control, Control engineering, Control theory and Artificial neural network are his primary areas of study. His study looks at the intersection of Control theory and topics like Flight test with Wing. The Adaptive control study combines topics in areas such as Linear system, Lyapunov function, Tracking error, Bounded function and Robustness.

Anthony J. Calise focuses mostly in the field of Control engineering, narrowing it down to matters related to Reference model and, in some cases, State observer. His research integrates issues of Stability, Algebraic Riccati equation, Riccati equation and Attitude control in his study of Control theory. As a part of the same scientific study, he usually deals with the Artificial neural network, concentrating on Control and frequently concerns with State.

### Between 2006 and 2019, his most popular works were:

• A New Neuroadaptive Control Architecture for Nonlinear Uncertain Dynamical Systems: Beyond $\sigma$ - and $e$ -Modifications (91 citations)
• Vision-Based Obstacle Avoidance for UAVs (77 citations)
• Derivative-Free Model Reference Adaptive Control (77 citations)

## In his most recent research, the most cited papers focused on:

• Control theory
• Artificial intelligence
• Mechanical engineering

Anthony J. Calise mainly focuses on Control theory, Adaptive control, Control engineering, Artificial neural network and Nonlinear system. His biological study spans a wide range of topics, including Flow control and Bounded function. His work deals with themes such as Tracking error, Adaptive system, Robustness and Constant, which intersect with Adaptive control.

In the field of Control engineering, his study on Control theory overlaps with subjects such as Wind gust. He has included themes like Control and Dynamical systems theory in his Artificial neural network study. His biological study spans a wide range of topics, including Relaxed stability and Thrust vectoring, Thrust.

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

Nonlinear flight control using neural networks

Byoung Soo Kim;Anthony J. Calise.
Journal of Guidance Control and Dynamics (1994)

808 Citations

Adaptive output feedback control of nonlinear systems using neural networks

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

543 Citations

Nonlinear adaptive flight control using neural networks

A.J. Calise;R.T. Rysdyk.
IEEE Control Systems Magazine (1998)

444 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

Singular Perturbations and Time Scales in Guidance and Control of Aerospace Systems: A Survey

D. S. Naidu;Anthony J. Calise.
Journal of Guidance Control and Dynamics (2001)

312 Citations

Analysis of Adaptive Neural Networks for Helicopter Flight Control

Jesse Leitner;Anthony Calise;J. V. R. Prasad.
Journal of Guidance Control and Dynamics (1995)

277 Citations

OPTIMAL VIBRATION CONTROL BY THE USE OF PIEZOCERAMIC SENSORS AND ACTUATORS

S. Hanagud;M. W. Obal;A. J. Calise.
Journal of Guidance Control and Dynamics (1992)

264 Citations

Development of a Reconfigurable Flight Control Law for Tailless Aircraft

Anthony J. Calise;Seungjae Lee;Manu Sharma.
Journal of Guidance Control and Dynamics (2001)

264 Citations

Uncertainty Modeling and Fixed-Order Controller Design for a Hypersonic Vehicle Model

Harald Buschek;Anthony J. Calise.
Journal of Guidance Control and Dynamics (1997)

255 Citations

Limited authority adaptive flight control for reusable launch vehicles

Eric N. Johnson;Anthony J. Calise.
Journal of Guidance Control and Dynamics (2003)

196 Citations

Profile was last updated on December 6th, 2021.
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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