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Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.


Papers
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Patent
30 Apr 2007
TL;DR: In this article, the authors present a technique to determine whether a component failure in a distributed computing system is genuine by analyzing monitoring data from other application nodes to determine if the component failure is genuine.
Abstract: In general, the techniques of this invention are directed to determining whether a component failure in a distributed computing system is genuine. In particular, embodiments of this invention analyze monitoring data from other application nodes in a distributed computing system to determine whether the component failure is genuine. If the component failure is not genuine, the embodiments may adjust a fault tolerance parameter that caused the component failure to be perceived.

37 citations

Journal ArticleDOI
TL;DR: In this article, a 3D continuous autonomous system is proposed based on these features, which can generate a four-wing chaotic attractor with less terms in the system equations, and several basic properties of the new system are analyzed by means of Lyapunov exponents, bifurcation diagrams and Poincare maps.
Abstract: In this paper, several three dimensional (3-D) four-wing smooth quadratic autonomous chaotic systems are analyzed. It is shown that these systems have a number of similar features. A new 3-D continuous autonomous system is proposed based on these features. The new system can generate a four-wing chaotic attractor with less terms in the system equations. Several basic properties of the new system is analyzed by means of Lyapunov exponents, bifurcation diagrams and Poincare maps. Phase diagrams show that the equilibria are related to the existence of multiple wings.

37 citations

Journal ArticleDOI
TL;DR: In this paper, the field equations for spatially self-similar spherically symmetric perfect-fluid models are investigated and a first-order system of autonomous differential equations is presented.
Abstract: Einstein's field equations for spatially self-similar spherically symmetric perfect-fluid models are investigated. The field equations are rewritten as a first-order system of autonomous differential equations. Dimensionless variables are chosen in such a way that the number of equations in the coupled system is reduced as far as possible and so that the reduced phase space becomes compact and regular. The system is subsequently analysed qualitatively with the theory of dynamical systems.

37 citations

Journal ArticleDOI
TL;DR: This paper critically examines the claim that parallel distributed processing (PDP) networks are autonomous learning systems and argues that this is because these models are not adequately constrained by the properties of the functional architecture assumed by PDP modelers.
Abstract: This paper critically examines the claim that parallel distributed processing (PDP) networks are autonomous learning systems. A PDP model of a simple distributed associative memory is considered. It is shown that the ‘generic’ PDP architecture cannot implement the computations required by this memory system without the aid of external control. In other words, the model is not autonomous. Two specific problems are highlighted: (i) simultaneous learning and recall are not permitted to occur as would be required of an autonomous system; (ii) connections between processing units cannot simultaneously represent current and previous network activation as would be required if learning is to occur. Similar problems exist for more sophisticated networks constructed from the generic PDP architecture. We argue that this is because these models are not adequately constrained by the properties of the functional architecture assumed by PDP modelers. It is also argued that without such constraints, PDP research...

37 citations

Proceedings ArticleDOI
17 Dec 2015
TL;DR: This paper elaborates on the key enabling robotic technology for the fully autonomous system, namely, a navigation system with surface tracking capability, and proposes a filtered Hough transform and a macro-mini manipulator structure for high accuracy tracking.
Abstract: Tracking of items on shelves is an important but time-consuming task in inventory control. In particular, books in public libraries are frequently borrowed and returned, even misplaced, and proves a challenge to be tracked on a daily basis. To track the books efficiently, we propose the Autonomous Robotic Shelf Scanning (AuRoSS) system. This paper elaborates on the key enabling robotic technology for the fully autonomous system, namely, a navigation system with surface tracking capability. A Radio Frequency Identification (RFID) reader is carried by the navigation system to identify the RFID tags embedded in each book. Based on the tag information, a tracking report that highlights missing and misplaced books is generated for the end users. To ensure successful identification, the surface tracking requires high accuracy, for which we propose a filtered Hough transform and a macro-mini manipulator structure. Tests of the AuRoSS system in a library show high accuracy in the scanning performance.

37 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202315
202228
202167
202081
2019101
201863