In this paper, a projected primal-dual gradient flow of augmented Lagrangian is presented to solve convex optimization problems that are not necessarily strictly convex. The optimization variables are restricted by a ...
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We present a new social animal inspired emotional swarm intelligence technique. This technique is used to solve a variant of the popular collective robots problem called foraging. We show with a simulation study how s...
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The partitioning of a system model will condition the structure of the controller as well as its design. In order to partition a system model, one has to know what states and inputs to group together to define subsyst...
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This paper proposes a systematic methodology able to analyze the stability and estimate the domain of attraction of output regulated systems with rational nonlinearities. The fundamental idea is to represent the syste...
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With the increase of distributed energy resources (DER), energy network's uncertainty is growing continuously, and grid operations is encountering severe challenges. Conventionally, the N-1 security criteria is sa...
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With the increase of distributed energy resources (DER), energy network's uncertainty is growing continuously, and grid operations is encountering severe challenges. Conventionally, the N-1 security criteria is satisfied mainly via adjusting generators' output. But in some cases, it is not effective because of the complex network constraints and the generators' limited dispatch range. With the development of smart buildings, there are lots of thermostatic controlled loads inside the buildings. The flexibility of building energy consumption is underutilized in the past. Therefore, a new method is proposed in this paper to enhance N-1 security via building thermostatic load control. A three-stage model is formulated. An energy-consumption simulation software termed EnergyPlus is utilized to calculate the relationship between indoor temperature settings and thermostatic loads of buildings. Case studies based on the modified IEEE-30 bus system with building thermostatic load validate the effectiveness of the proposed control method.
We present some new results on the dynamic regressor extension and mixing parameter estimators for linear regression models recently proposed in the literature. This technique has proven instrumental in the solution o...
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Networked systems are ubiquitous in today's world with examples spanning from ecology to the social and engineering sciences. Much of the research in networked systems is analytical, where the focus is on characte...
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作者：
Aroudi, Abdelali ElGAEI Research Center
Department of Electronics Electrical Engineering and Automatic Control Universitat Rovira i Virgili Tarragona Spain
This paper investigates the effect of the integrator gain on subharmonic oscillation boundary in switching converters with fixed frequency pulse width modulation (PWM) with an integrative feedback loop. First, the exa...
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State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subse...
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ISBN:
(纸本)9781509045839
State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subsequent estimation problems are based. Among these problems are the estimation problem in the presence of packet drops and estimation problem involving event-based triggers. We study in this paper both phenomena simultaneously. In an attempt to find the Kalman-like filter, which proves the Gaussianity of the state and offers a set of update equations, our paper shows that no such filter exists. More precisely, one cannot find an event-based trigger such that under possible packet drops, the state variable remains a Gaussian variable. This conclusion can be reasonably extended to a more general setting.
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