University of Bedfordshire

About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.

Production places or consumption spaces? The place-making agency of food tourism in Ireland and Scotland.

Abstract: This article examines the transformation of food production sites into spaces of touristic experience. Traditional food producers are opening their doors to visitors as the popularity of food tourism increases, negotiating a balance between the operation of their business and the drive towards developing new arenas of consumption. An approach that retains spatial, social and cultural influences is advanced to conceptualize the place-making agency of food tourism, whilst theorizing the blurring of work/leisure to explore the merging of work places with leisure spaces. Findings from 32 interviews with producers and 34 interviews with tourists in Ireland and Scotland include the identification of hybrid spaces where consumer needs clash with production requirements; the discovery of producers who create new spaces of consumptive leisure to accommodate touristic interests; the constructive agency of tourist expectations; and insights into how producers alter patterns of traditional production to faci...

Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection

Abstract: This work embodies the overspeed protection and safe headway control into an iterative learning control (ILC) based train trajectory tracking algorithm to satisfy the high safety requirement of high-speed railways. First, a D-type ILC scheme with overspeed protection is proposed. Then, a corresponding coordinated ILC scheme with multiple trains is studied to keep the safe headway. Finally, the control scheme under traction/braking force constraint is also considered for this proposed ILC-based train trajectory tracking strategy. Rigorous theoretical analysis has shown that the proposed control schemes can guarantee the asymptotic convergence of train speed and position to its desired profiles without requirement of the physical model aside from some mild assumptions on the system. Effectiveness is further evaluated through simulations.