David J. N. Limebeer's research while affiliated with University of the Witwatersrand and other places

... In the case of dry friction, the higher amount of heat in tread is generated, which further cause increased wear of tires. 108 In the case of the wet road the water between road and tire behaves like lubricator, which reduces friction, 63 which means that the tire tread is protected and the wear is mild. ...

... This work was expanded in [79] to a dual-wheel configuration, which allowed for the assessment of the effects of gyro- scopic forces and axle width on shimmy behaviour of the NLG. Finally we remark that, although shimmy oscillations are a well documented phenomenon in aircraft ground dy- namics, as Shaw and Balachandran point out in the review paper [65], they may appear in mechanical systems outside of an aerospace context, for example in the dynamics of motorcycles [7,42]. These mechanical systems have also attracted research interest and examples of shimmy research here that employs numerical continuation techniques includes the studies of: an automobile under steady cornering conditions [17], the dy- namics of a pulled wheel system [73] and the active steering control of a car [10]. ...

... In each mode, fuel consumption was proven to depend on the instantaneous engine efficiency, approximated by two analytical functions instead of the commonly considered consumption map. Furthermore, the works [14][15][16][17][18] present the distinct approaches of instantaneous fuel consumption, which encompass vehicle characteristics, engine characteristics, as well as gear selection schemes. These models are further implemented in different types of passenger cars and their operations are examined by applying microscopic traffic simulation or artificial neural networks. ...

... With the improvement of the studies with artificial liberation points, future studies may generalize the work either to stronger kinds of control or to work with the 5 body problem or even the n-body problem [32,33]. ...

... Since then, in the following two decades, there has been several generalizations in an attempt to incorporate systems of more general nature, as for instance: coupled multi-body systems, field theories, electrical systems [4][5][6][7][8][9]; systems with more specific features (as symmetries) [10][11][12][13][14]; interactions with control theory [15][16][17][18][19]; higher-order and asynchronous techniques [20][21][22]. For more recent developments, see [23][24][25][26][27][28][29][30]. For surveys and reviews, see [31][32][33][34] and the references therein. ...

... which limits the maximum power on the road. The cost function of the OCP is given by (3), which is modified to include regularisation terms [23] ...

... For the last several decades, research and development of the vehicular lateral stability control (LSC) program have received a considerable amount of attention owing to its abilities to enhance vehicle handling and reduce roadway crashes [1], [2]. In a nutshell, making use of certain chassis sensors and actuators, the LSC system strives for reducing/preventing dangerous incidents involving understeer/oversteer, fishtailing, and spin-out [3], [4]. In particular, the sideslip angle, characterized as the angle between the vehicle's heading and the actual direction of travel, shall be maintained as small as possible to avoid the loss of vehicle stability [5]. ...

... A flywheel energy storage system (FESS) is a type of ESS that has the advantages of high efficiency, fast response, instantaneous high power, low maintenance, and long life [1][2][3]. Thus, FESSs have been applied in electric vehicles [4,5], hydraulic excavators [6], wind power generation [7,8], microgrids [9], photovoltaic generation [10], uninterruptible power supply (UPS) [11,12], and aerospace applications [13]. In an FESS, energy is stored in a high-speed flywheel rotor. ...

... There are many modeling studies on motorcycles. Gani et al. (1997) established motorcycle models through mathematical models and used programming analysis to calculate multi-body dynamics, which was the beginning of motorcycle modeling. Cossalter et al. (1998) used computer simulation to establish motorcycle models under different road conditions, such as steady circle and lane changing and through simulation results such as steering torque and roll angle to get the dynamic characteristics. ...

... In addition to the methods mentioned above, several challenging studies have been conducted to improve the aerodynamic performance of the bridge. For example, Li et al. [22] and Gouder et al. [23] proposed an active wind load feedback control method by sensors and actuator to change the wind flow near the bridge and improve the flutter resistance. ...