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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
13969
World Ranking
612
National Ranking
272

Electronics and Electrical Engineering

D-Index
62
Citations
13955
World Ranking
1454
National Ranking
600

Overview

Anthony J. Calise is affiliated with the Georgia Institute of Technology in the United States. Their research primarily focuses on the field of Engineering, with specific contributions in Control and Systems Engineering as well as Aerospace Engineering.

The main research topics that Anthony J. Calise has worked on include:

  • Adaptive Control of Nonlinear Systems
  • Guidance and Control Systems
  • Military Defense Systems Analysis
  • Advanced Control Systems Design
  • Fault Detection and Control Systems

Anthony's recent publications reflect ongoing work in guidance and control methodologies, particularly in adaptive systems. Notable recent papers are:

  • "Adaptive Finite Time Intercept Guidance," published in 2023 in the Journal of Guidance Control and Dynamics
  • "Adaptive Finite Time Intercept Guidance," presented in 2023 at the AIAA SCITECH 2023 Forum

The scientist has collaborated frequently with other researchers, including:

  • Quang Lam
  • Nhan T. Nguyen

The primary venues for publishing research findings include:

  • Journal of Guidance Control and Dynamics
  • AIAA SCITECH 2023 Forum

Overall, the work of Anthony J. Calise centers on adaptive control techniques applied to nonlinear and aerospace systems, with a particular emphasis on guidance solutions relevant to defense systems. The research output is concentrated in engineering disciplines that integrate control theory with aerospace applications.

Best Publications

  • Nonlinear flight control using neural networks

    Byoung Soo Kim;Anthony J. Calise

  • Adaptive output feedback control of nonlinear systems using neural networks

    Anthony J. Calise;Naira Hovakimyan;Moshe Idan

  • Nonlinear adaptive flight control using neural networks

    A.J. Calise;R.T. Rysdyk

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

    N. Hovakimyan;F. Nardi;A. Calise;Nakwan Kim

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

    D. S. Naidu;Anthony J. Calise

  • OPTIMAL VIBRATION CONTROL BY THE USE OF PIEZOCERAMIC SENSORS AND ACTUATORS

    S. Hanagud;M. W. Obal;A. J. Calise

  • Convergence of a numerical algorithm for calculating optimal output feedback gains

    Unknown

  • Development of a Reconfigurable Flight Control Law for Tailless Aircraft

    Anthony J. Calise;Seungjae Lee;Manu Sharma

  • Analysis of Adaptive Neural Networks for Helicopter Flight Control

    Jesse Leitner;Anthony Calise;J. V. R. Prasad

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

    Harald Buschek;Anthony J. Calise

  • Limited authority adaptive flight control for reusable launch vehicles

    Eric N. Johnson;Anthony J. Calise

  • ADAPTIVE MODEL INVERSION FLIGHT CONTROL FOR TILT-ROTOR AIRCRAFT

    Rolf T. Rysdyk;Anthony J. Calise

  • Adaptive Autopilot Design for Guided Munitions

    Anthony J. Calise;Manu Sharma;J. Eric Corban

  • Optimization of Launch Vehicle Ascent Trajectories with Path Constraints and Coast Arcs

    Peter F. Gath;Anthony J. Calise

  • Neural network adaptive control of systems with input saturation

    E.N. Johnson;A.J. Calise

  • Direct adaptive reconfigurable control of a tailless fighter aircraft

    Unknown

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

    A.T. Kutay;A.J. Calise;M. Idan;N. Hovakimyan

  • A New Neuroadaptive Control Architecture for Nonlinear Uncertain Dynamical Systems: Beyond $\sigma $ - and $e$ -Modifications

    K.Y. Volyanskyy;W.M. Haddad;A.J. Calise

  • Feedback linearization with neural network augmentation applied to X-33 attitude control

    Eric N. Johnson;Anthony J. Calise;Hesham A. El-Shirbiny;Rolf T. Rysdyk

  • Adaptive nonlinear control of agile antiair missiles using neural networks

    M.B. McFarland;A.J. Calise

  • FAULT TOLERANT FLIGHT CONTROL VIA ADAPTIVE NEURAL NETWORK AUGMENTATION

    Rolf T. Rysdyk;Anthony J. Calise

  • DIRECT ADAPTIVE RECONFIGURABLE FLIGHT CONTROL FOR A TAILLESS ADVANCED FIGHTER AIRCRAFT

    Kevin A. Wise;Joseph S. Brinker;Anthony J. Calise;Dale F. Enns

  • Optimal vibration control by the use of piezoceramic sensors and actuators

    S. Hanagud;A. Calise

Frequent Co-Authors

Eric N. Johnson
Eric N. Johnson Pennsylvania State University
Naira Hovakimyan
Naira Hovakimyan University of Illinois at Urbana-Champaign
Girish Chowdhary
Girish Chowdhary University of Illinois at Urbana-Champaign
Wassim M. Haddad
Wassim M. Haddad Georgia Institute of Technology
Bruno Siciliano
Bruno Siciliano University of Naples Federico II
Dewey H. Hodges
Dewey H. Hodges Georgia Institute of Technology
Ari Glezer
Ari Glezer Georgia Institute of Technology
Anthony Leonard
Anthony Leonard California Institute of Technology
Eugene Lavretsky
Eugene Lavretsky Boeing (United States)
Allen Tannenbaum
Allen Tannenbaum Stony Brook University

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