What is he best known for?
The fields of study he is best known for:
- Control theory
- Mechanical engineering
- Structural engineering
His primary areas of study are Control theory, Automotive engineering, Bicycle and motorcycle dynamics, Control engineering and Vehicle dynamics.
His study on Optimal control and Compensation is often connected to Speed wobble as part of broader study in Control theory.
In his work, Multibody system, Torque and Electronic stability control is strongly intertwined with Stability, which is a subfield of Automotive engineering.
His Bicycle and motorcycle dynamics research is multidisciplinary, incorporating perspectives in Point and Modal.
The various areas that Robin S. Sharp examines in his Control engineering study include Steady state, Shear force, Model predictive control and Nonlinear system.
The concepts of his Vehicle dynamics study are interwoven with issues in Inverted pendulum and Linear-quadratic regulator.
His most cited work include:
- The Stability and Control of Motorcycles (337 citations)
- Shear Force Development by Pneumatic Tyres in Steady State Conditions: A Review of Modelling Aspects (289 citations)
- Road Vehicle Suspension System Design - a review (285 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Automotive engineering, Control engineering, Optimal control and Vehicle dynamics.
Robin S. Sharp works mostly in the field of Control theory, limiting it down to concerns involving Damper and, occasionally, Compensation.
His Automotive engineering research includes elements of Torque and Actuator.
His studies examine the connections between Control engineering and genetics, as well as such issues in Work, with regards to Toolbox.
His work deals with themes such as Active suspension, Control theory and Model predictive control, which intersect with Optimal control.
His research investigates the connection with Vehicle dynamics and areas like Simulation which intersect with concerns in Mechanics.
He most often published in these fields:
- Control theory (44.21%)
- Automotive engineering (26.32%)
- Control engineering (25.26%)
What were the highlights of his more recent work (between 2010-2016)?
- Structural engineering (10.53%)
- Poison control (8.42%)
- Vehicle dynamics (15.79%)
In recent papers he was focusing on the following fields of study:
His main research concerns Structural engineering, Poison control, Vehicle dynamics, Shear force and Slipping.
He brings together Structural engineering and Mathematical model to produce work in his papers.
Vehicle dynamics is a subfield of Control theory that Robin S. Sharp explores.
His studies in Control theory integrate themes in fields like Vibration control, Natural frequency, Modal and Trim.
His Slipping research includes themes of Friction coefficient, Contact patch, Contact pressure, Shear stress and Slip.
His Automotive engineering research incorporates themes from Reduction and Torque.
Between 2010 and 2016, his most popular works were:
- Vehicle dynamics applications of optimal control theory (76 citations)
- Time-optimal control of the race car: influence of a thermodynamic tyre model (26 citations)
- Rider control of a motorcycle near to its cornering limits (18 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mechanical engineering
- Structural engineering
Robin S. Sharp mainly investigates Poison control, Automotive engineering, Vehicle dynamics, Structural engineering and Gain scheduling.
When carried out as part of a general Structural engineering research project, his work on Slipping is frequently linked to work in Representation, therefore connecting diverse disciplines of study.
He combines subjects such as Frequency response, Adaptive control, Limit and Machine control with his study of Gain scheduling.
His Contact patch research integrates issues from Shear force and Deformation.
The study incorporates disciplines such as Model predictive control and Robust control, Nonlinear system in addition to Linear-quadratic regulator.
His Nonlinear system study introduces a deeper knowledge of Control theory.
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