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Titlebook: Intelligent Systems‘2014; Proceedings of the 7 D. Filev,J. Jabłkowski,S. Zadrozny Conference proceedings 2015 Springer International Publis

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书目名称Intelligent Systems‘2014
副标题Proceedings of the 7
编辑D. Filev,J. Jabłkowski,S. Zadrozny
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概述Presents recent ideas and achievements in the theory and practice of Intelligent Systems.Constitutes the proceedings of the 2014 IEEE 7th International Conference Intelligent Systems (IS) held on Sept
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Intelligent Systems‘2014; Proceedings of the 7 D. Filev,J. Jabłkowski,S. Zadrozny Conference proceedings 2015 Springer International Publis
描述.This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS’2014 for short, held on September 24‐26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN‘2014-Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets.The conference was organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements - PIAP.The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts..
出版日期Conference proceedings 2015
关键词7th International Conference Intelligent Systems (IS); Computational Intelligence; IEEE IS’2014; Intell
版次1
doihttps://doi.org/10.1007/978-3-319-11310-4
isbn_softcover978-3-319-11309-8
isbn_ebook978-3-319-11310-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2015
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Intelligent Control of Flows with Risks on a Networkoposed in this work. The capacity of each arc is so defined, that it does not exceeds ‘the physical’ arc constraints as well as the admissible risk of the arc network flow function. The maximal flow of minimal cost is calculated in two steps – first the max flow is calculated, and then on the base o
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Intelligent Robust Control System Based on Quantum KB-Self-organization: Quantum Soft Computing and logy. Synergetic effect of integrated IT of Kansei / Affective and System of Systems Engineering as intelligent cognitive robust control on Benchmarks is considered. An example of designing integrated fuzzy intelligent control systems (IFICS) in unpredicted situations using Kansei / Affective Engine
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Distributed Control and Navigation System for Quadrotor UAVs in GPS-Denied Environments Cooperative navigation, marker detection and mapping task solved by a team of multiple unmanned aerial vehicles is chosen as demo example. Developed intelligent control system complies with on 4DRCS reference model and its implementation is based on ROS framework. Custom implementation of EKF-based
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Design of a Fuzzy System for the Fly the de Havilland Beaver In this case a fuzzy system is employ to control the flight in the 2 trajectories. Also a joystick is used to introduced disturbances to the system, this joystick is used in different ways to move the airplane and with the fuzzy system the fly of the airplane is controlled.
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Dynamics Model of a Four-Wheeled Mobile Robot for Control Applications – A Three-Case Study are used for driving the robot. Three cases of the robot drive system are considered. In the first case, two out of four wheels of the robot are independently driven, i.e., a pair of front or rear wheels. In the second case, the same wheels of the robot are driven but drive is also transmitted to t
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