World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
23618
World Ranking
1922
National Ranking
20

Overview

Pierre Apkarian is affiliated with the Office National d'Études et de Recherches Aérospatiales in France. Their research primarily focuses on engineering, particularly within control and systems engineering, computational mechanics, and statistical and nonlinear physics.

Apkarian's work covers a range of topics, including:

  • Stability and Control of Uncertain Systems
  • Fluid Dynamics and Turbulent Flows
  • Quantum chaos and dynamical systems
  • Numerical methods for differential equations
  • Control and Stability of Dynamical Systems
  • Advanced Control Systems Optimization
  • Model Reduction and Neural Networks

The scientist has contributed to several reputable publication venues with multiple papers published in:

  • arXiv (Cornell University)
  • International Journal of Robust and Nonlinear Control
  • SIAM Journal on Control and Optimization
  • IEEE Control Systems Letters
  • IMA Journal of Mathematical Control and Information

Recent papers include:

  • "Optimizing the Kreiss Constant," 2020, SIAM Journal on Control and Optimization
  • "Boundary feedback control of an anti-stable wave equation," 2020, IMA Journal of Mathematical Control and Information
  • "Mixed -synthesis for -stability," 2021, International Journal of Robust and Nonlinear Control

Frequent coauthors in Apkarian's research include:

  • Dominikus Noll
  • William Jussiau
  • Colin Leclercq
  • Fabrice Demourant
  • Ye Shi

Apkarian's scholarship demonstrates a focus on control theory and systems optimization, with research spanning theoretical and applied topics in dynamical systems and fluid dynamics. Their published work ranges from advanced control methodologies to numerical and computational techniques relevant to engineering and mathematical control disciplines.

Best Publications

  • A linear matrix inequality approach to H∞ control

    Pascal Gahinet;Pierre Apkarian

  • Advanced gain-scheduling techniques for uncertain systems

    Pierre Apkarian;Richard J. Adams

  • Self-scheduled H ∞ control of linear parameter-varying systems: a design example

    Pierre Apkarian;Pascal Gahinet;Greg Becker

  • A convex characterization of gain-scheduled H/sub /spl infin// controllers

    P. Apkarian;P. Gahinet

  • Affine parameter-dependent Lyapunov functions and real parametric uncertainty

    P. Gahinet;P. Apkarian;M. Chilali

  • Parameterized linear matrix inequality techniques in fuzzy control system design

    H.D. Tuan;P. Apkarian;T. Narikiyo;Y. Yamamoto

  • Robust pole placement in LMI regions

    M. Chilali;P. Gahinet;P. Apkarian

  • Nonsmooth H ∞ synthesis

    Pierre Apkarian;Dominikus Noll

  • Nonsmooth $H_infty$ Synthesis

    P. Apkarian;D. Noll

  • Analysis and synthesis of robust control systems via parameter-dependent Lyapunov functions

    E. Feron;P. Apkarian;P. Gahinet

  • Continuous-time analysis, eigenstructure assignment, and H/sub 2/ synthesis with enhanced linear matrix inequalities (LMI) characterizations

    P. Apkarian;Hoang Duong Tuan;J. Bernussou

  • Parameterized LMIs in Control Theory

    Pierre Apkarian;Hoang Duong Tuan

  • Robust control via concave minimization local and global algorithms

    P. Apkarian;Hoang Duong Tuan

  • Robust and reduced-order filtering: new LMI-based characterizations and methods

    H.D. Tuan;P. Apkarian;T.Q. Nguyen

  • Structured H∞ Synthesis in MATLAB

    P. Gahinet;P. Apkarian;P. Apkarian

  • Robust control via sequential semidefinite programming

    B. Fares;D. Noll;P. Apkarian

  • Self-scheduled H-infinity control of missile via linear matrix inequalities

    Pierre Apkarian;Jean-Marc Biannic;Pascal Gahinet

  • Parametric Robust Structured Control Design

    Pierre Apkarian;Minh Ngoc Dao;Dominikus Noll

  • Missile autopilot design via a multi‐channel LFT/LPV control method

    Paulo C. Pellanda;Pierre Apkarian;Hoang Duong Tuan

  • LPV techniques for control of an inverted pendulum

    H. Kajiwara;P. Apkarian;P. Gahinet

Frequent Co-Authors

Hoang Duong Tuan
Hoang Duong Tuan University of Technology Sydney
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Andrey V. Savkin
Andrey V. Savkin University of New South Wales

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