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Informatics in Control, Automation and Robotics

Overview of attention for book
Cover of 'Informatics in Control, Automation and Robotics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Perception and Cognition: Two Foremost Ingredients toward Autonomous Intelligent Robots
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    Chapter 2 Robust Output Feedback Interpolation Based Control for Constrained Linear Systems
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    Chapter 3 SVM Approximation of Value Function Contours in Target Hitting Problems
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    Chapter 4 Dynamic Obstacle Avoidance with Simultaneous Translational and Rotational Motion Control for Autonomous Mobile Robot
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    Chapter 5 An Economical Testbed for Cooperative Control and Sensing Strategies of Robotic Micro-vehicles
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    Chapter 6 Mobile Manipulators Motion Planning Based on Trajectory Tracking Control
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    Chapter 7 Study and Development of the Rescue Robot to Accommodate Victims under Earthquake Disasters
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    Chapter 8 Digital Traveler Assistant
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    Chapter 9 Informatics in Control, Automation and Robotics
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    Chapter 10 Using Chernoff’s Bounding Method for High-Performance Structural Break Detection and Forecast Error Reduction
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    Chapter 11 Analytical-Numerical Localization of Hidden Attractor in Electrical Chua’s Circuit
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    Chapter 12 Flexible Discrete Time State Space Model for Canal Pools
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    Chapter 13 Virtual Sensors for Semiconductor Manufacturing: A Nonparametric Approach - Exploiting Information Theoretic Learning and Kernel Machines
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    Chapter 14 AutomationML as a Shared Model for Offline- and Realtime-Simulation of Production Plants and for Anomaly Detection
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    Chapter 15 An Open-Loop Approach for a Stochastic Production Planning Problem with Remanufacturing Process
Attention for Chapter 11: Analytical-Numerical Localization of Hidden Attractor in Electrical Chua’s Circuit
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Chapter title
Analytical-Numerical Localization of Hidden Attractor in Electrical Chua’s Circuit
Chapter number 11
Book title
Informatics in Control, Automation and Robotics
Published in
Lecture Notes in Electrical Engineering, February 2016
DOI 10.1007/978-3-642-31353-0_11
Book ISBNs
978-3-64-231352-3, 978-3-64-231353-0
Authors

Nikolay Kuznetsov, Olga Kuznetsova, Gennady Leonov, Vladimir Vagaitsev

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 11%
France 1 11%
Canada 1 11%
Unknown 6 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor > Associate Professor 2 22%
Researcher 2 22%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Other 0 0%
Readers by discipline Count As %
Engineering 4 44%
Mathematics 2 22%
Physics and Astronomy 1 11%
Arts and Humanities 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2013.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Lecture Notes in Electrical Engineering
#1
of 1 outputs
Outputs of similar age
#134,929
of 412,597 outputs
Outputs of similar age from Lecture Notes in Electrical Engineering
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 412,597 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them