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The problem of parameters identification is solved by means of the combined maximum principle. Its use allows one to decompose the original system into subsystems for each of the observed state variables. The first stage of solving the extremal problem is to solve the structural synthesis problem. Within its framework there are causal characteristics leading to the state changes. They are treated...
Recent developments in microgrids place strict constraints on the underlying state estimation technology, including the need for a dynamic and distributed approach. Since the problem is reminiscent of classical information fusion [2], the paper explores the application of a fusion-based reduced order, distributed unscented particle filter (FR/DUPF) for dynamic state estimation in microgrids. By partitioning...
Uniaxial vehicles for goods transport such as hand trucks are popular with many transport tasks. They offer intuitive manoeuvrability with little space requirements. The disadvantage of this class of pedestrian controlled means of transportation is the need for the user to apply force for stabilisation and propulsion. To eliminate this disadvantage a solution approach is to equip the vehicle with...
In this paper, two types of permanent-magnet-assisted switched reluctance motors (SRMs) characterized by placing permanent magnets in either common or excitation poles are comparatively investigated in terms of performance such as torque production and efficiency improvement with respect to switch-on and switch-off angles through dynamic performance estimation. Four conditions for angle control are...
In this paper, an ATV (All-Terrain Vehicle) rollover prevention system is proposed. Dynamic instability evaluation is based on the on-line estimation and prediction of the Lateral Load Transfer (LLT) from a vehicle model based on two 2D representations. As off-road vehicles are considered, grip conditions have a large influence. They are here estimated relying on observation theory. Nevertheless,...
This paper describes the applications of Fourier Bessel series models for characterising the transport of nanoparticles driven by dielectrophoretic forces and randomized by Brownian motion. Nanoparticle transport using dielectrophoresis continues to be an active area of research and models are fundamental for characterising the process. The models have very useful capabilities including prediction...
Building information modelling (BIM) is only a tool in the procurement of a building, but it is changing the way the whole process is undertaken. Having a single model which is used by all disciplines requires a different management structure and by consequence a restructuring of the resources required to complete a project.These changes are encompassed in Integrated Practice and more recently Integrated...
An organizational level test strategy needs to incorporate metrics to make the testing activities visible and available to process improvements. The majority of testing measurements that are done are based on faults found in the test execution phase. In contrast, this paper investigates metrics to support software test planning and test design processes. We have assembled metrics in these two process...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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