By K. T. Chau
In Chaos in electrical force platforms: research, keep an eye on and alertness authors Chau and Wang systematically introduce an rising know-how of electric engineering that bridges summary chaos concept and useful electrical drives. The authors consolidate all vital info during this interdisciplinary know-how, together with the elemental options, mathematical modeling, theoretical research, laptop simulation, and implementation. The publication presents entire assurance of chaos in electrical force structures with 3 major elements: research, keep watch over and alertness. Corresponding force platforms diversity from the best to the newest kinds: DC, induction, synchronous reluctance, switched reluctance, and everlasting magnet brushless drives.The first ebook to comprehensively deal with chaos in electrical force systemsReviews chaos in numerous electric engineering applied sciences and force systemsPresents cutting edge techniques to stabilize and stimulate chaos in average drivesDiscusses useful program of chaos stabilization, chaotic modulation and chaotic motionAuthored by means of famous scientists within the fieldLecture fabrics on hand from the book's spouse websiteThis ebook is perfect for researchers and graduate scholars who focus on electrical drives, mechatronics, and electrical equipment, in addition to these enrolled in sessions overlaying complicated issues in electrical drives and keep an eye on. Engineers and product designers in business electronics, client electronics, electrical home equipment and electrical automobiles also will locate this e-book necessary in making use of those rising techniques.Lecture fabrics for teachers on hand atwww.wiley.com/go/chau_chaos
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Additional resources for Chaos in Electric Drive Systems: Analysis, Control and Application
This K–S entropy has a similarity to the usual thermodynamic entropy since it measures the expansion of nearby trajectories into new regions of state space. At the same time, unlike the thermodynamic entropy, the K–S entropy has units of inverse time, or inverse iterations for maps. It is a measure of the average rate at which predictability is lost. Its inverse is a rough estimate of the time for which a reasonable prediction is expected (Sprott, 2003). A purely random system has infinite entropy, and a periodic system has zero entropy; therefore, the K–S entropy is a positive constant for a chaotic system, and the chaotic degree increases with the value of the K–S entropy.
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1975). Period three implies chaos. American Mathematical Monthly, 82, 985–92. H. et al. (2002) Bifurcations and chaos in a permanent-magnet synchronous motor. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 49, 383–387. C. P. (2004) A novel GA-based and meta-heuristics method for short-term unit commitment problem. Proceedings of IEEE Power Engineering Society General Meeting, pp. 1088–1093. Liu, H. (1998) The Semantics and Philosophy of Chaos (in Chinese), Hunan Education Press, Changsha, China.
Chaos in Electric Drive Systems: Analysis, Control and Application by K. T. Chau