The Experts below are selected from a list of 1819080 Experts worldwide ranked by ideXlab platform
Xiaozhe Wang - One of the best experts on this subject based on the ideXlab platform.
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online measurement based estimation of dynamic system state matrix in ambient conditions
IEEE Transactions on Smart Grid, 2020Co-Authors: Hao Sheng, Xiaozhe WangAbstract:In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck process. The proposed method employs a recursive algorithm to minimize the required computational effort, making it applicable to the Real-Time Environment. One main advantage of the proposed method is model independence, i.e., it is independent of the network model and the dynamic model of generators. Among various applications of the estimated matrix, detecting and locating unexpected network topology change is illustrated in details. Simulation studies have shown that the proposed measurement-based method can provide an accurate and efficient estimation of the dynamic system state matrix under the occurrence of unexpected topology change. Besides, various implementation conditions are tested to show that the proposed method can provide accurate approximation despite measurement noise, missing phasor measurement units (PMUs), and the implementation of higher-order generator models with control devices.
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online measurement based estimation of dynamic system state matrix in ambient conditions
arXiv: Signal Processing, 2019Co-Authors: Hao Sheng, Xiaozhe WangAbstract:In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck process. The proposed method employs a recursive algorithm to minimize the required computational effort, making it applicable to the Real-Time Environment. One main advantage of the proposed method is model independence, i.e., it is independent of the network model and the dynamic model of generators. Among various applications of the estimated matrix, detecting and locating unexpected network topology change is illustrated in details. Simulation studies have shown that the proposed measurement-based method can provide an accurate and efficient estimation of the dynamic system state matrix under the occurrence of unexpected topology change. Besides, various implementation conditions are tested to show that the proposed method can provide accurate approximation despite measurement noise, missing PMUs, and the implementation of higher-order generator models with control devices.
Hao Sheng - One of the best experts on this subject based on the ideXlab platform.
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online measurement based estimation of dynamic system state matrix in ambient conditions
IEEE Transactions on Smart Grid, 2020Co-Authors: Hao Sheng, Xiaozhe WangAbstract:In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck process. The proposed method employs a recursive algorithm to minimize the required computational effort, making it applicable to the Real-Time Environment. One main advantage of the proposed method is model independence, i.e., it is independent of the network model and the dynamic model of generators. Among various applications of the estimated matrix, detecting and locating unexpected network topology change is illustrated in details. Simulation studies have shown that the proposed measurement-based method can provide an accurate and efficient estimation of the dynamic system state matrix under the occurrence of unexpected topology change. Besides, various implementation conditions are tested to show that the proposed method can provide accurate approximation despite measurement noise, missing phasor measurement units (PMUs), and the implementation of higher-order generator models with control devices.
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online measurement based estimation of dynamic system state matrix in ambient conditions
arXiv: Signal Processing, 2019Co-Authors: Hao Sheng, Xiaozhe WangAbstract:In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck process. The proposed method employs a recursive algorithm to minimize the required computational effort, making it applicable to the Real-Time Environment. One main advantage of the proposed method is model independence, i.e., it is independent of the network model and the dynamic model of generators. Among various applications of the estimated matrix, detecting and locating unexpected network topology change is illustrated in details. Simulation studies have shown that the proposed measurement-based method can provide an accurate and efficient estimation of the dynamic system state matrix under the occurrence of unexpected topology change. Besides, various implementation conditions are tested to show that the proposed method can provide accurate approximation despite measurement noise, missing PMUs, and the implementation of higher-order generator models with control devices.
Edgardo Ferro - One of the best experts on this subject based on the ideXlab platform.
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802.4 rate monotonic scheduling in hard Real-Time Environments: setting the medium access control parameters
Information Processing Letters, 1997Co-Authors: Javier Orozco, Ricardo Cayssials, J. Santos, Edgardo FerroAbstract:This paper presents an analysis of the Rate Monotonic scheduling of an 802.4 network operating in a hard Real-Time Environment. The worst-case number of priority inversions is determined. With that, an iterative algorithm is derived to partition the set of nodes in priority classes and to assign the two fundamental medium access control parameters, Target Token Rotation Time and High Priority Token Holding Time, in order to meet the hard Real-Time constraints.
Vahit Kaplanoglu - One of the best experts on this subject based on the ideXlab platform.
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a multi agent based approach to dynamic scheduling of machines and automated guided vehicles in manufacturing systems
Applied Soft Computing, 2012Co-Authors: Rizvan Erol, Cenk Sahin, Adil Baykasoglu, Vahit KaplanogluAbstract:In real manufacturing Environments, the control of system elements such as automated guided vehicles has some difficulties when planning operations dynamically. Multi agent-based systems, a newly maturing area of distributed artificial intelligence, provide some effective mechanisms for the management of such dynamic operations in manufacturing Environments. This paper proposes a multi-agent based scheduling approach for automated guided vehicles and machines within a manufacturing system. The proposed multi-agent based approach works under a Real-Time Environment and generates feasible schedules using negotiation/bidding mechanisms between agents. This approach is tested on off-line scheduling problems from the literature. The results show that our approach is capable of generating good schedules in real time comparable with the optimization algorithms and the frequently used dispatching rules.
Vicente Botti - One of the best experts on this subject based on the ideXlab platform.
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using negotiation techniques as time restricted scheduling policies on intelligent agents
Lecture Notes in Computer Science, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for Real-Time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence techniques to Real-Time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply negotiation techniques to optimize Real-Time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a Real-Time Environment. To implement our proposal, we have used an agent working in a hard Real-Time Environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
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flexible real time linux a flexible hard real time Environment
Real-time Systems, 2002Co-Authors: Andres Terrasa, Ana Garciafornes, Vicente BottiAbstract:This paper presents a framework appropriate for Flexible Real-Time Systems (FRTS) and a run-time support system based on that framework, called Flexible Real-Time Linux (FRTL). The framework proposes to build each task as a sequence of mandatory and optional components and to separate their execution in two scheduling levels. This approach is shown to provide both hard guarantees and flexible behavior. The FRTL system has been implemented by enhancing the original capabilities of Real-Time Linux (RT-Linux), while maintaining its predictability and efficiency features. This paper also shows a complete schedulability test on which all sources of overhead of the FRTL itself have been introduced. By applying this complete test, the designer is able to safely guarantee a Real-Time application running on the FRTL system.
