World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
10162
World Ranking
6036
National Ranking
14

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Algebra
  • Electrical engineering

The scientist’s investigation covers issues in Optimal control, Riccati equation, Mathematical analysis, Algebraic Riccati equation and Tokamak. His Optimal control study is concerned with Control theory in general. His Riccati equation research is multidisciplinary, incorporating perspectives in Representation and Algebraic number.

His studies deal with areas such as Discrete mathematics, Control system, Differential game, Differential equation and Interval as well as Algebraic number. His Mathematical analysis research includes elements of Applied mathematics and Algebra. His Algebraic Riccati equation study incorporates themes from Factorization and Spectral method.

His most cited work include:

  • A J-Spectral Factorization Approach to H∞ Control (201 citations)
  • A game theoretic approach to H ∞ control for time-varying systems (186 citations)
  • An analysis of the pole-zero cancellations in H ∞ -optimal control problems of the first kind (77 citations)

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

His main research concerns Control theory, Optimal control, Control engineering, Control theory and Structural engineering. His research investigates the link between Control theory and topics such as Damper that cross with problems in Speed wobble. Within one scientific family, he focuses on topics pertaining to Automotive engineering under Optimal control, and may sometimes address concerns connected to Kinematics.

The various areas that David J. N. Limebeer examines in his Control theory study include Discrete time and continuous time, Linear system and Riccati equation. His work carried out in the field of Riccati equation brings together such families of science as Upper and lower bounds, Representation and Coprime integers. His work deals with themes such as Aeroelasticity and Flutter, which intersect with Structural engineering.

He most often published in these fields:

  • Control theory (48.94%)
  • Optimal control (20.21%)
  • Control engineering (13.83%)

What were the highlights of his more recent work (between 2014-2018)?

  • Optimal control (20.21%)
  • Control theory (48.94%)
  • Structural engineering (12.77%)

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

Optimal control, Control theory, Structural engineering, Aeroelasticity and Automotive engineering are his primary areas of study. His study in Optimal control is interdisciplinary in nature, drawing from both Operating point, Torque and Trajectory. David J. N. Limebeer regularly ties together related areas like Tangent space in his Control theory studies.

His Aeroelasticity research incorporates themes from Bridge, Tuned mass damper and Flutter. His research on Flutter also deals with topics like

  • Wind tunnel and related Flight control surfaces, Trailing edge and Control system,
  • Airfoil that connect with fields like Robust control, Finite element method and Control theory. His Nonlinear system study combines topics from a wide range of disciplines, such as Domain and Applied mathematics.

Between 2014 and 2018, his most popular works were:

  • Optimal Control of a Formula One Car on a Three-Dimensional Track—Part 2: Optimal Control (35 citations)
  • Faster, Higher, and Greener: Vehicular Optimal Control (31 citations)
  • Optimal tyre usage for a Formula One car (22 citations)

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

  • Control theory
  • Algebra
  • Electrical engineering

His primary areas of investigation include Optimal control, Control theory, Automotive engineering, Range and Curvature. His Optimal control study integrates concerns from other disciplines, such as Torsion, Tangent space and Tangent. When carried out as part of a general Control theory research project, his work on Control theory is frequently linked to work in Curvilinear coordinates, therefore connecting diverse disciplines of study.

As part of his studies on Automotive engineering, David J. N. Limebeer often connects relevant subjects like Rolling resistance. His Range study frequently links to other fields, such as Industrial engineering. He has researched Aerodynamics in several fields, including Kinematics, Vehicle dynamics, Suspension and Nonlinear system.

Best Publications

  • Linear Robust Control

    Michael Green;David J. N. Limebeer

  • Simplifying the H∞ theory via loop-shifting, matrix-pencil and descriptor concepts

    Michael G. Safonov;D. J. N. Limebeer;R. Y. Chiang

  • A Nash game approach to mixed H/sub 2//H/sub /spl infin// control

    D.J.N. Limebeer;B.D.O. Anderson;B. Hendel

  • Advances in the modelling of motorcycle dynamics

    R.S. Sharp;S. Evangelou;D.J.N. Limebeer

  • A characterization of all solutions to the four block general distance problem

    K. Glover;D. J. N. Limebeer;J. C. Doyles;E. M. Kasenally

  • On the design of robust two degree of freedom controllers

    D. J. N. Limebeer;E. M. Kasenally;J. D. Perkins

  • A J-Spectral Factorization Approach to H∞ Control

    Michael Green;Keith Glover;David Limebeer;John Doyle

  • A game theoretic approach to H ∞ control for time-varying systems

    David J. N. Limebeer;Brian D. O. Anderson;Pramod P. Khargonekar;Michael Green

  • Synthesis of positive real multivariable feedback systems

    M. G. Safonov;E. A. Jonckheere;M. Vermaj;D. J. N. Limebeer

  • Bicycles, motorcycles, and models

    D.J.N. Limebeer;R.S. Sharp

  • A Motorcycle Model for Stability and Control Analysis

    Robin S. Sharp;David J.N. Limebeer

  • Robust H/sub /spl infin// filtering of stationary continuous-time linear systems with stochastic uncertainties

    E. Gershon;D.J.N. Limebeer;U. Shaked;I. Yaesh

  • Optimal Hankel model reduction for nonminimal systems

    M.G. Safonov;R.Y. Chiang;D.J.N. Limebeer

  • Mechanical Steering Compensators for High-Performance Motorcycles

    Simos Evangelou;David J. N. Limebeer;Robin S. Sharp;Malcolm C. Smith

  • Discrete-time H/sup infinity / control

    D.J.N. Limebeer;M. Green;D. Walker

  • A J-spectral factorization approach to control

    Unknown

  • Optimal control for a Formula One car with variable parameters

    Giacomo Perantoni;David J. N. Limebeer

  • The stability of motorcycles under acceleration and braking

    D. J. N. Limebeer;R. S. Sharp;S Evangelou

  • Control of motorcycle steering instabilities

    S. Evangelou;D.J.N. Limebeer;R.S. Sharp;M.C. Smith

  • An H/sub infinity / approach to two degree of freedom design

    D.J. Hoyle;R.A. Hyde;D.J.N. Limebeer

  • An analysis of the pole-zero cancellations in H ∞ -optimal control problems of the first kind

    D. J. N. Limebeer;Y. S. Hung

Frequent Co-Authors

Robin S. Sharp
Robin S. Sharp University of Surrey
Michael G. Safonov
Michael G. Safonov University of Southern California
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Fabio Villone
Fabio Villone University of Naples Federico II
Keith Glover
Keith Glover University of Cambridge
Malcolm C. Smith
Malcolm C. Smith University of Cambridge
Raffaele Albanese
Raffaele Albanese University of Naples Federico II
Uri Shaked
Uri Shaked Tel Aviv University
Marco Ariola
Marco Ariola Parthenope University of Naples
Beverley McKeon
Beverley McKeon California Institute of Technology

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