In many of the marine applications, the availability of an accurate system to localize underwater targets using a group of surface vehicles equipped with acoustic sensors is of paramount importance. In this context, t...
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In many of the marine applications, the availability of an accurate system to localize underwater targets using a group of surface vehicles equipped with acoustic sensors is of paramount importance. In this context, the surface vehicles must keep a well-defined formation with respect to the targets so as to maximize the range-based information available for target localization. In this paper, a target position estimation algorithm together with a simple formation control law to maintain an optimal configuration that maximizes range-related information for target localization and tracking are presented. The setup studied consists of a group of surface vehicles moving in formation and a target performing a predefined mission. The optimal formation is computed by maximizing the determinant of an appropriately defined Fisher information matrix (FIM), subject to inter-vehicle collision avoidance and vehicle manoeuvring constraints. A centralized approach for the formation control is considered, where the trajectory planning is carried out by a supervisor that computes the control actions for each agent. The formation control is complemented with a collision avoidance logic based on a discrete event law. Simulations show that this strategy leads to an interesting and well defined behavior of the formation for localization and tracking.
Systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One...
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Systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One such method is active fault diagnosis based on a fault signature system. This method is derived using the YJBK parametrisation, named after Youla, Jabr, Bongiorno and Kucera. It uses the derived fault signature system to determine the detectability of possible faults in the system. Deriving the fault signature system requires knowledge about the controller. This paper demonstrates the possibility of estimating the detectability of faults in the fault signature system using a gap-metric. The gap-metric has the advantage of only requiring knowledge about the plant. By using the gap-metric it is possible to estimate the detectability of faults without using information about the controller.
Laboratory experimentation plays an essential role in control education. To reduce the high costs of maintaining apparatus in traditional labs and to support distance and blended learning, online laboratories are used...
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It is well known that the complex system operation requires the use of new scientific tools and computer simulation. This paper presents a modular approach for modeling and analysis of the complex systems (in communic...
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The paper proposes a hierarchical, agent-based, DES supported, distributed architecture for networked organization control. Taking into account enterprise integration engineering frameworks and business process manage...
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It is well known that the complex system operation requires the use of new scientific tools and computer simulation. This paper presents a modular approach for modeling and analysis of the complex systems (in communic...
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This work presents a simulation study of an event-based selective control strategy for a raceway reactor. The control system aims are to maintain simultaneously a pH and dissolved oxygen within specific limits. In the...
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This paper aims to introduce an application to Kalman Filtering Theory, which is rather unconventional. Recent experiments have shown that many natural phenomena, especially from ecology or meteorology, could be monit...
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With half of the world already connected to the Internet, we are facing a growing amount of information available online, that is expected to increase exponentially in the following years. Educational environments are...
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With half of the world already connected to the Internet, we are facing a growing amount of information available online, that is expected to increase exponentially in the following years. Educational environments are transitioning from closed structures to open, collaborative environments, using technology to build virtual classrooms. In this paper we present a customized crawler dedicated to alternative knowledge building environments used for potential community inquiry, that is unique in its power to combine data extraction and indexing capabilities that facilitate discourse-driven community network analysis integrated into the ReaderBench framework.
This paper considers cluster detection in Block Markov Chains (BMCs). These Markov chains are characterized by a block structure in their transition matrix. More precisely, the n possible states are divided into a fin...
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