Understanding the dynamics of railway vehicles, and indeed of the entire vehicle-track system, is critical to ensuring safe and economical operation of modern railways. As the …
Challenging optimisation problems, which elude acceptable solution via conventional methods, arise regularly in control systems engineering. Evolutionary algorithms (EAs) …
Q Wang, P Spronck, R Tracht - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
Genetic algorithms (GAs) are the most widely known evolutionary search algorithms. While they are regularly applied to control engineering problems, currently they are not a standard …
This study investigates the dry and near-dry electrical discharge machining (EDM) milling to achieve a high material removal rate (MRR) and fine surface finish for roughing and …
TX Mei, RM Goodall - Vehicle System Dynamics, 2003 - Taylor & Francis
This paper presents the recent development on active steering for railway vehicles, and carries out a technical appraisal of different actuation schemes and control approaches. It …
Y He, J McPhee - Journal of Sound and Vibration, 2005 - Elsevier
A multidisciplinary optimization method is applied to the design of mechatronic vehicles with active suspensions. The method is implemented in a GA-A'GEM-MATLAB simulation …
I Hussain, TX Mei, RT Ritchings - Vehicle System Dynamics, 2013 - Taylor & Francis
This paper presents the development of a multiple model estimation approach for the identification of the adhesion limit to overcome the problem of the wheel slip/slide at the rail …
V Exadaktylos, CJ Taylor - International Journal of Control, 2010 - Taylor & Francis
This article proposes an approach for performance tuning of model predictive control (MPC) using goal-attainment optimisation of the cost function weighting matrices. The approach is …