Age, Biography and Wiki

David Limebeer was born on 31 July, 1952, is a British engineer. Discover David Limebeer's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 71 years old?

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Age 71 years old
Zodiac Sign Leo
Born 31 July 1952
Birthday 31 July
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We recommend you to check the complete list of Famous People born on 31 July. He is a member of famous Engineer with the age 71 years old group.

David Limebeer Height, Weight & Measurements

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David Limebeer Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is David Limebeer worth at the age of 71 years old? David Limebeer’s income source is mostly from being a successful Engineer. He is from . We have estimated David Limebeer's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
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Source of Income Engineer

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1952

David John Noel Limebeer (born 31 July 1952) is an electrical engineer and academic.

He is an Emeritus Professor of Control Engineering at the University of Oxford and a Distinguished Professor at the University of the Witwatersrand.

He is also an Emeritus Professorial Fellow at New College, Oxford.

Limebeer is known for his contributions in engineering dynamics, with his contributions spanning electrical machines, robust control theory, and vehicle dynamics.

He has published numerous peer-reviewed articles and books, including Linear Robust Control (with Michael Green), and Dynamics and Optimal Control of Road Vehicles (with Matteo Massaro).

1974

Limebeer obtained his B.Sc.in engineering from the University of the Witwatersrand in 1974 and then attended the University of Natal from 1975 to 1980, where he received his M.Sc.

in engineering and a PhD degree.

1980

From 1980 to 1984, he was a post-doctoral fellow at the University of Cambridge.

He earned a D.Sc.

Having considered the central problem of finding low-order robust controllers in the 1980s, Limebeer established that low-order controllers exist; and also contributed to the solution of the optimal case.

In the periodically time-varying case, he explored the robust control of a satellite in a three-dimensional "halo" orbit and introduced a quantifiable robust stability margin that maintains the orbit while also ensuring robust stability.

Much of this work is summarized in the textbook Linear Robust Control (with M. Green).

Another aspect of Limebeer's research is his work on motorcycle and race car dynamics.

Working with Robin S. Sharp, he developed computational methods for finding vehicle models, that were later made into the commercial software product BikeSim.

1984

Limebeer joined Imperial College London in 1984 as a lecturer in the Department of Electrical and Electronic Engineering, was promoted to Reader in 1989, Professor in 1993 and served as Head of the department between 1999 and 2008.

1992

in engineering from the University of London in 1992, and a MA degree from the University of Oxford in 2009 (conferred by resolution).

2008

He was Professor of Control Engineering at the University of Oxford between 2008 and 2019, where he was also a Professorial Fellow at New College (Oxford).

2014

Prompted by the introduction in 2014 of fuel-saving regulations into Formula One, he studied the use of optimal control in closed-circuit racing, emphasizing the optimal deployment of limited fuel sources, later work focused on tyre management, and three-dimensional track modelling.

In 2021, he focused on modifying his Formula One work for use on highly banked NASCAR ovals.

Some of his vehicle dynamics work is included in the textbook Dynamics and Optimal Control of Road Vehicles.

2019

He is the recipient of two South African Institute of Electrical Engineers Prizes and award certificates, the University of Hong Kong William Mong Distinguished Lecture prize, and the 2019 Honeywell International Medal from the Institute of Measurement and Control.

He is A1 rated with the South African National Research Foundation.

Limebeer is a Fellow of the Royal Academy of Engineering,

the Institute of Electrical Engineers, the South African Academy of Engineering, the City and Guilds of London Institute, and is a Life Fellow of the Institute of Electrical and Electronics Engineers.

Since 2019, he has been an Emeritus Professor of Control Engineering at the University of Oxford and an Emeritus Professorial Fellow at New College.

Following his retirement and return to South Africa, where he held emeritus positions at the University of Pretoria and the University of Johannesburg.

Since 2021 he has been serving as a Distinguished Professor at the University of the Witwatersrand.

Limebeer has acted as an expert witness in several product liability, accident investigation, and patent cases.

He has also consulted for several Formula One, MotoGP and NASCAR teams.

He has held a number of editorial positions, including Associate Editor for Systems and Control Letters, an Editor for Automatica, and serves as an Editorial Board Member for Multibody System Dynamics.

Limebeer's research covers both theoretical and applied contributions to control engineering and dynamic systems.

These include contributions to the understanding and prevention of subsynchronous resonance (SSR) in electrical machines, robust control and the dynamics of road vehicles including bicycles, motorcycles, and Formula One and NASCAR specification race cars.

SSR is an electro-mechanical resonance phenomenon that occurs in alternating-current (AC) machines when series capacitor compensation is included in the motor’s power supply.

Limebeer’s work includes the design, operation, and limitations of passive-SSR suppression filters.

He also explored SSR in induction motors with series capacitor compensated feeders, this work revealed improved starting time and voltage regulation, with unstable speed bands in both single-cage, and deep-bar motors.

Robust control aims to achieve adequate performance and/or stability in the presence of modelling errors.