Future Smart Grids have to meet high expectations from our societies on improved energy efficiency and sustainability. However, system uptake and acceptance will to a large extent depend on the perceived trust by diff...
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An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of in...
An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent systems.
In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intel...
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In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intelligent traffic. A block-based Gaussian mixture background modeling method for object detection is presented to reduce the computational complexity of moving vehicle object abstraction. An adaptive tracking algorithm fused with color features and texture features is described to better adapt the traffic scene variation. The experimental results show that the proposed algorithm can effectively deal with the complex urban traffic conditions and the tracking performance is better than the conventional particle filter method and single feature based non-adaptive object tracking method.
This paper addresses the robust H ∞ filtering problem for a class of discrete time-varying Markovian jump systems with randomly occurring nonlinearities and sensor saturation. Two kinds of transition probability ma...
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This paper addresses the robust H ∞ filtering problem for a class of discrete time-varying Markovian jump systems with randomly occurring nonlinearities and sensor saturation. Two kinds of transition probability matrices for the Markovian process are considered, namely, the one with polytopic uncertainties and the one with partially unknown entries. The nonlinear disturbances are assumed to occur randomly according to stochastic variables satisfying the Bernoulli distributions. The main purpose of this paper is to design a robust filter, over a given finite-horizon, such that the H ∞ disturbance attenuation level is guaranteed for the time-varying Markovian jump systems in the presence of both the randomly occurring nonlinearities and the sensor saturation. Sufficient conditions are established for the existence of the desired filter satisfying the H ∞ performance constraint in terms of a set of recursive linear matrix inequalities. Simulation results demonstrate the effectiveness of the developed filter design scheme.
Future powers system is considering huge flux of information flow due to increase in Renewable Energy Sources. Due to the limited monitoring and management of SCADA systems, inclusion of DER at local distribution leve...
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Future powers system is considering huge flux of information flow due to increase in Renewable Energy Sources. Due to the limited monitoring and management of SCADA systems, inclusion of DER at local distribution level is a challenging task for the Smart Grid. We discuss the non-functional requirement aspects and their implication in trustworthy systems. The paper also illustrates an engineering approach towards trustworthy ICT systems. We present a use case about Injection/Curtailment of DER in distributed network. Further, we argue the importance of Service Level Agreements as coordination tool for information exchange between DSO and DER for the provisioning of trustworthy services. Finally conclude that modeling of SLA using Multi Agent systems is a viable approach towards Trustworthy future Smart Grid applications.
Future Smart Grids have to meet high expectations from our societies on improved energy efficiency and sustainability. However, system uptake and acceptance will to a large extent depend on the perceived trust by diff...
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Future Smart Grids have to meet high expectations from our societies on improved energy efficiency and sustainability. However, system uptake and acceptance will to a large extent depend on the perceived trust by different stakeholders. In the paper we address issues related to engineering of trustworthy systems. This type of Engineering will be grounded in reliable models of interoperability. A key issue is here interoperability of information exchange and sharing. Based on analysis of trust concerns, we propose a model of coordinating and monitoring by Service Level Agreements (SLAs) between stakeholders to ensure trustworthiness of system performance and behavior. We illustrate our methods on case related to trustworthy inclusion of DERs in Smart Grids.
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and v...
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This paper presents a new optimization-based iterative learning control (ILC) framework for multiple-point tracking control. Conventionally, one demand prior to designing ILC algorithms for such problems is to build a...
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ISBN:
(纸本)9781612848006
This paper presents a new optimization-based iterative learning control (ILC) framework for multiple-point tracking control. Conventionally, one demand prior to designing ILC algorithms for such problems is to build a reference trajectory that passes through all given points at given times. In this paper, we produce output curves that pass close to the desired points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. As such, the whole process becomes simpler;key advantages include significantly decreasing the computational cost and improving performance. Our work is then examined in both continuous and discrete systems.
In this paper, we present an iterative learning control (ILC) algorithm to track specified desired multiple terminal points at given time instants. A framework to update the desired trajectories from given points is d...
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In this paper, we present an iterative learning control (ILC) algorithm to track specified desired multiple terminal points at given time instants. A framework to update the desired trajectories from given points is developed based on the interpolation technique. The approach shows better rate of convergence of the errors. The simulation with a satellite antenna control model is demonstrated to show the effectiveness of our approach.
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a corners...
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