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Existing approaches to system optimization (optimal design) under uncertainty are considered. The exact formulation of constrained optimization problem with interval uncertainty of goal function and constraints parameters is given. Mathematical theory of intervals comparison including the precise definition of minimum and maximum ranges is stated. On the basis of this theory the determination method...
This paper describes Network Enabled Capability (NEC) within Command & Control (C2) systems. In the first part we present the need to transform military operations of Industrial Age to Information Age military operations and the related NCW (Network Centric Warfare). In the next part of the paper we discuss OODA (Observe, Orient, Decide, Act) Loop as a means of optimizing NEC within Command &...
Solid state transformers (SSTs) can be interconnected with each other through a distribution feeder to form a smart grid. When the main grid is disconnected, SSTs form an islanded microgrid. With available communications, master-slave microgrid control structure can be adopted. The system-level stability analysis can be simplified by considering only the grid interface stage of the SST. The loop feeder...
This paper presents a design methodology with uncertainty quantification to estimate the required margin for two main design variables in a modular multilevel converter (MMC). In this methodology, the minimum required design margins are calculated by quantifying all sources of uncertainty in the modeling and simulation of MMCs. To this end, an enhanced modeling framework is presented to take into...
This paper deals with a robust input-output feedback linearization control technique for induction motors. The idea arises from the observation that classic feedback linearization suffers primarily from two disadvantages: the accuracy of the dynamic model and the corresponding correct knowledge of the model parameters. To cope with the limit of the feedback linearization control, intrinsically connected...
Companies of the engineer-to-order (ETO) business face various trends such as digitalization and globalization. These trends will radically impact our ways of engineering. The Engineering framework translates Dave Snowden's Cynefin framework [2] to the engineering world. Cynefin for Engineers allows structuring future ways of engineering and guiding ETO companies along their transformation of engineering...
The choice of poses for camera calibration with planar patterns is only rarely considered — yet the calibration precision heavily depend on it. This work presents a pose selection method that explicitly avoids singular pose configurations which would lead to an unreliable solution. Consequently camera poses are favoured that reduce the uncertainty of the calibration parameters most. For this purpose...
This work faces the problem of frequency deviation in microgrid systems. The considered microgrid includes renewable energy sources such as wind and solar photovoltaic. As long as these sources provide an irregular power supply or there is a sudden change in the system load, the power system frequency deviates. In order to compensate such deviations, alternative, conventional energy sources should...
As a shared economy platform, Airbnb provides collaborative practices for customers and guides them to match with hosts' rooms. Based on the records and ratings, there is great significance attached to inferring the satisfaction between users and rooms. Several essential problems arise when evaluating satisfaction and matching. Data confidence and prediction bias influence the inference performance...
Many requirements engineering and software architecture decisions are complicated by uncertainty and multiple conflicting stakeholders objectives. Using quantitative decision models helps clarify these decisions and allows the use of multi-objective simulation optimisation techniques in analysing the impact of decisions on objectives. Existing requirements and architecture decision support methods...
In conditions of a mass character of higher education, the problems of student identification are relevant because of the differences in the contingent of students in terms of level of training, personal and cognitive characteristics. The learning process is characterized by the presence of uncertainty factors, which requires modeling and control of the application process of methods and tools of...
The work investigates the properties of the solutions derived from the minimum yield principle in problems of constructing optimal in continuous VaR-criterion (CC-VaR) portfolio for an investor with own partial market forecast and own risk preferences function. Fundamental theoretical results are adduced and illustrated by examples of two-sided exponential, equiprobability, and beta distributions...
In search and rescue missions, time is an important factor; fast navigation and quickly acquiring situation awareness might be matters of life and death. Hence, the use of robots in such scenarios has been restricted by the time needed to explore and build a map. One way to speed up exploration and mapping is to reason about unknown parts of the environment using prior information. While previous...
This work presents an ensemble-based visual object tracker called KFebT. This method can fuse using a Kalman Filter the result of several out-of-the box trackers or specialist methods that solve parts of the problem, like methods that only estimate the target scale variation. Our purpose in joining multiple trackers is to take advantage of the different strengths and weaknesses of each approach. The...
This paper presents the results of the antenna pattern measurements conducted on the Ice Cloud Imager 664 GHz feed horn at the ESTEC Sub-mmwave Scanner (SmS) in support to the ICI instrument of the MetOp-SG program. Very good agreement between simulations and measurements was obtained, both in the co- and cross-polar component. The measured peak directivity was 26.28 dBi ± 0.13 dB while the simulated...
Passive operating system fingerprinting reveals valuable information to the defenders of heterogeneous private networks; at the same time, attackers can use fingerprinting to reconnoiter networks, so defenders need obfuscation techniques to foil them. We present an effective approach for passive fingerprinting that uses data features from TLS as well as the TCP/IP and HTTP protocols in a multi-session...
According to uncertainties of the load and leakage inductance in the output transformer, this paper uses the μ analysis and synthesis method to design a robust controller for the three-phase medium frequency power supply. The controller not only enables the closed-loop system to do the non-static error tracking and to be asymptotic stability, but also is good in robustness and able to suppress the...
This paper gives an overview of the calorimetric systems used to determine the losses of converters and motors, introduces the standards in the scope of the topic briefly, and highlights the problems associated with the loss determination of high efficiency devices. The calorimeters are classified in four categories based on chamber configuration. Information about previously published calorimeters...
To deal with the increasing penetration of uncertainties caused by renewable generations and uncertain loads, this paper proposes a novel robust optimization model for the optimal power flow (OPF) problem of power systems. In the model proposed, the generation and the network topology are co-optimized, and then the proposed robust optimal power flow with transmission switching (ROPF_TS) model is converted...
This paper proposes a robust optimization framework for energy hub management. It is well known that the operation of energy systems can be negatively affected by uncertain parameters, such as stochastic load demand or generation. In this regard, it is of high significance to propose efficient tools in order to deal with uncertainties and to provide reliable operating conditions. On a broader scale,...
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