This paper presents the usefulness of simulation in studying the impacts of system failures and delays on the output and cycle time of finished weldments produced by a robotic work cell having both serial and parallel processes. Due to multiple processes and overlapped activities, process mapping plays a significant role in building the model. The model replicates a non-terminating welding fabr...

We develop a new methodology to design synthetic genetic switch networks with multiple genes and time delays, by using monotone dynamical theory. We show that the networks with only positive feedback loops have no stable oscillation except equilibria whose stability is also independent of the time delays. Such systems have ideal properties for switch networks and can be designed with out consid...

Static output-feedback stabilization for the nth order vector differential equations by using artificial multiple delays is considered. Under assumption of the stabilizability of the system by a static feedback that depends on the output and its derivatives up to the order n − 1, a delayed static output-feedback is found that stabilizes the system. The conditions for the stability analysis of t...

We propose machine learning models that capture the relation between passenger train arrival delays and various characteristics of a railway system. Such models can be used at the tactical level to evaluate effects of various changes in a railway system on train delays. We present the first application of support vector regression in the analysis of train delays and compare its performance with...

Abstract In this paper, we derive criteria of global attractivity a (possibly constant) positive periodic solution in non-autonomous systems delay differential equations. Our approach can be viewed as the extension for folkloric connection between discrete dynamics and scalar It is worth mentioning that provide delay-dependent attraction cover best independent conditions. We apply our results t...

and Applied Analysis 3 global exponential stability and synchronization of delayed reaction-diffusion neural networks under hybrid state feedback control and impulsive control. However, to the authors knowledge, impulsive control has not been considered in the literature to realize synchronization of reaction-diffusion neural networks. Moreover, the impulsive controllers in 3, 9, 36–40 were non...

Schedule delays commonly occur in construction projects and often result in delay and low productivity. Several studies have proposed different schedule delay analysis methodologies. By using asplanned and as-built schedules most studies have concentrated on calculating and identifying the delay events on project but have neglected the low productivity. Loss in productivity, which is a primary ...