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Books on the topic 'Oscillating behavior'

Author: Grafiati

Published: 2 June 2025

Last updated: 19 July 2025

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1

Anishchenko, V. S. Dynamical chaos in physical systems: Experimental investigation of self-oscillating circuits. BSB B.G. Teubner Verlagsgesellschaft, 1989.

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2

Pacault, A. Rythmes et formes en chimie: Histoire des structures dissipatives. Presses Universitaires de France, 1997.

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3

J, Field Richard, and Györgyi László, eds. Chaos in chemistry and biochemistry. World Scientific, 1993.

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4

Ahier, David James. Oscillating behaviour of a 7.5% circular arc airfoil. Dept. of Aerospace Science and Engineering, 1987.

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5

McRuer, Duane T. Pilot-induced oscillations and human dynamic behavior. Dryden Flight Research Center, 1995.

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6

McRuer, D. T. Pilot-induced oscillations and human dynamic behavior. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Program, 1995.

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7

Yu, Pogromsky A., ed. Introduction to control of oscillations and chaos. World Scientific, 1998.

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8

I, Neĭmark I͡U. Stokhasticheskie i khaoticheskie kolebanii͡a. "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1988.

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9

I, Neĭmark I͡U. Stochastic and chaotic oscillations. Kluwer Academic Publishers, 1992.

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10

Seminar on Oscillation, Bifurcation, and Chaos (1986 University of Toronto). Oscillation, bifurcation, and chaos: Proceedings of the 1986 annual seminar held July 13-25, 1986. Edited by Atkinson F. V, Langford W. F, Mingarelli Angelo B. 1952-, Canadian Mathematical Society, and Natural Sciences and Engineering Research Council Canada. Published by the American Mathematical Society for the Canadian Mathematical Society, 1987.

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11

Gaponov-Grekhov, A. V. Nonlinearities in action: Oscillations, chaos, order, fractals. Springer-Verlag, 1992.

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12

Ueda, Yoshisuke. The road to chaos. Aerial Press, 1992.

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13

Yoshisuke, Ueda. The road to chaos. Aerial Press, 1992.

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14

Yoshisuke, Ueda. The road to chaos-II. 2nd ed. Aerial Press, 1992.

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15

L, Chernousʹko F., Fradkov A. L, and International Conference "Control of Oscillations and Chaos" (1st : 1997 : Saint Petersburg, Russia), eds. Control of oscillations and chaos: 1997 1st international conference : proceedings : August 27-29, St. Petersburg, Russia. IEEE, 1997.

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16

International Conference on Control of Oscillations and Chaos (2nd 2000 St. Petersburg, Russia). 2000 2nd International Conference [on] Control of Oscillations and Chaos: Proceedings : July 5-7, St. Petersburg, Russia. the Institute for Problems of Mechanical Engineering, 2000.

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17

Pierre, Bergé. L' ordre dans le chaos: Vers une approche déterministe de la turbulence. Hermann, 1988.

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18

Bachmann, Hugo, and Walter Ammann. Vibrations in Structures. International Association for Bridge and Structural Engineering (IABSE), 1987. http://dx.doi.org/10.2749/sed003e.

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<p>«Vibrations in Structures» concentrates on vibrations in structures as excited by human motion or machine operation. Man-induced vibrations may arise from walking, running, skipping, dancing, etc. They occur mostly in pedestrian structures, office buildings, gymnasia and sports halls, dancing and concert halls, stadia, etc. Existing publications treat by and large some isolated aspects of the problem; the present one attempts, for the first time, a systematic survey of man-induced vibrations. Machine-induced vibrations occur during the operation of all sorts of machinery and tools wi

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19

Gyorgyi, Laszlo. Chaos in Chemistry and Biochemistry. World Scientific Publishing Co Pte Ltd, 1993.

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20

Chaos in Chemistry and Biochemistry. World Scientific Publishing Co Pte Ltd, 1993.

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21

Biochemical oscillations and cellular rhythms: The molecular bases of periodic and chaotic behaviour. Cambridge University Press, 1996.

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22

Ahier, David James. Oscillating behaviour of a 7.5 % circular arc airfoil. 1987.

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23

Selverston, Allen. Rhythms and oscillations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0021.

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The study of identifiable neurons, a common feature of invertebrate nervous systems, has made it possible to construct a detailed cell-to-cell connectivity map using electrophysiological methods that can inspire the design of biomimetic systems. This chapter describes how the analysis of the neural circuitry in the lobster stomatogastric ganglion (STG) has provided some general principles underlying oscillatory and rhythmic behavior in all animals. The rhythmic and oscillatory patterns produced by the two STG central pattern generating (CPG) circuits are a result of two cooperative mechanisms,

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24

Kapitaniak, Tomasz. Chaotic Oscillations in Mechanical Systems. Wiley & Sons, Incorporated, John, 1992.

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25

Jones, Barbara E. Neuroanatomical, neurochemical, and neurophysiological bases of waking and sleeping. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0004.

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Neurons distributed through the reticular core of the brainstem, hypothalamus, and basal forebrain and giving rise to ascending projections to the cortex or descending projections to the spinal cord promote the changes in cortical activity and behavior that underlie the sleep–wake cycle and three states of waking, NREM (slow wave) sleep, and REM (paradoxical) sleep. Forming the basic units of these systems, glutamate and GABA cell groups are heterogeneous in discharge profiles and projections, such that different subgroups can promote cortical activation (wake/REM(PS)-active) versus cortical d

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26

Herman, David. Explanation and Understanding in Animal Narratives. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190850401.003.0008.

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With chapter 6 having described the way norms for mental-state ascriptions operate in a top-down manner in discourse domains, chapter 7 explores how individual narratives can in turn have a bottom-up impact on the ascriptive norms circulating within particular domains. To this end, the chapter discusses how Thalia Field’s 2010 experimental narrative Bird Lovers, Backyard employs a strategic oscillation between two nomenclatures that can be used to profile nonhuman as well as human behaviors: (1) the register of action, which characterizes behavior in terms of motivations, goals, and projects;

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27

Smith, Leonard Allen. Lacunarity and chaos in nature. 1993.

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28

Berridge, M. J., and Albert Goldbeter. Biochemical Oscillations and Cellular Rhythms: The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 2011.

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29

Berridge, M. J., and Albert Goldbeter. Biochemical Oscillations and Cellular Rhythms: The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 2010.

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30

(Foreword), M. J. Berridge, ed. Biochemical Oscillations and Cellular Rhythms: The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, 1997.

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31

Control of Oscillations and Chaos: 2000 2nd International Conference Proceedings. Institute of Electrical & Electronics Enginee, 2000.

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32

Gottlieb, Oded. Nonlinear oscillations, bifurcations and chaos in ocean mooring systems. 1991.

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33

Pfurtscheller, Gert, and Fernando Lopes da Silva. EEG Event-Related Desynchronization and Event-Related Synchronization. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0040.

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Event-related desynchronization (ERD) reflects a decrease of oscillatory activity related to internally or externally paced events. The increase of rhythmic activity is called event-related synchronization (ERS). They represent dynamical states of thalamocortical networks associated with cortical information-processing changes. This chapter discusses differences between ERD/ERS and evoked response potentials and methodologies for quantifying ERD/ERS and selecting frequency bands. It covers the interpretation of ERD/ERS in the alpha and beta bands and theta ERS and alpha ERD in behavioral tasks

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34

Bifurcation and chaos in coupled oscillators. World Scientific, 1991.

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35

Neimark, J. I., and P. S. Landa. Stochastic and Chaotic Oscillations (Mathematics and its Applications). Springer, 1992.

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36

Gaponov-Grekhov, Andrei V., Mikhail I. Rabinovich, E. F. Hefter, and N. Krivatkina. Nonlinearities in Action: Oscillations Chaos Order Fractals. Springer, 2011.

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37

Gaponov-Grekhov, Andrei V., and Mikhail I. Rabinovich. Nonlinearities in Action: Oscillations, Chaos, Order, Fractals. Springer, 1993.

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38

Shapiro, Kimron, and Simon Hanslmayr. The Role of Brain Oscillations in the Temporal Limits of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.037.

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Attention is the ubiquitous construct referring to the ability of the brain to focus resources on a subset of perceptual input which it is trying to process for a response. Attention has for a long time been studied with reference to its distribution across space where, for example, visual input from an attentionally monitored location is given preference over non-monitored (i.e. attended) locations. More recently, attention has been studied for its ability to select targets from among rapidly, sequentially presented non-targets at a fixed location, e.g. in visual space. The present chapter ex

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39

Lepora, Nathan F. Building blocks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0013.

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This chapter introduces the “building blocks” section of the Handbook of Living Machines which explores the individual sensory and motor components that when pieced together can comprise a complete biological or artificial system. The first six chapters cover the senses of vision, audition, touch, taste, and smell (considered together as chemosensing, proprioception, and electrosensing). The remaining chapters review aspects of the biomimetics of animal movement. First, that biological muscle has many performance benefits compared with conventional electric, second, how oscillations in neural

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40

Kinoshita, Shuichi. Pattern Formations and Oscillatory Phenomena. Elsevier, 2013.

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41

Kinoshita, Shuichi. Pattern Formations and Oscillatory Phenomena. Elsevier Science & Technology Books, 2013.

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42

Luo, Albert C. J. Toward Analytical Chaos in Nonlinear Systems. Wiley & Sons, Incorporated, John, 2014.

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43

Luo, Albert C. J. Toward Analytical Chaos in Nonlinear Systems. Wiley & Sons, Incorporated, John, 2014.

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44

Granic, Isabela, and Jessica P. Lougheed. The Role of Anxiety in Coercive Family Processes with Aggressive Children. Edited by Thomas J. Dishion and James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.18.

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The majority of aggressive children exhibit symptoms of anxiety. This chapter outlines a novel theoretical model that builds explicitly on coercion theory, linking aggression with the regulation of anxiety in both caregivers and children. Three hypotheses are suggested and data are applied to support this model: (1) unpredictable oscillations between permissive and hostile parenting (two distinct aspects of the coercive cycle) induces anxiety in children, which in turn triggers aggressive behavior; (2) peer relations and difficult school contexts exacerbate anxiety, which in turn may trigger b

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45

Robbins, Trevor. The Neuropsycho–Pharmacology of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.028.

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Pharmacological influences on cognition and behaviour are often accompanied by effects on different aspects of attention. The actions of many psychoactive drugs (often used in the treatment of psychiatric disorders) depend on effects exerted on the classical chemical modulatory neurotransmitter systems including acetylcholine, and the monoamines, dopamine, noradrenaline and serotonin (or 5-hydroxytryptamine, 5-HT). These chemical systems originate in the reticular core of the brain and modulate attention by actions on forebrain structures including the thalamus, striatum, and the neocortex (es

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46

Steel, Duncan G. Introduction to Quantum Nanotechnology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192895073.001.0001.

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Quantum physics is rapidly emerging as a transformative approach to expand the frontiers of technology in areas including communications, information processing, metrology, and sensing. Indeed, the end of Moore’s Law looms in the near future and quantum effects in modern electronics such as quantum tunneling are a limiting factor. In contrast, in new technology based on quantum behavior, the quantum properties represent a new dimension of opportunity. This shift is already creating a growing need for engineers and physical scientists who have specialized knowledge in this area, in order to con

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47

Amzica, Florin, and Fernando H. Lopes da Silva. Cellular Substrates of Brain Rhythms. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0002.

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The purpose of this chapter is to familiarize the reader with the basic electrical patterns of the electroencephalogram (EEG). Brain cells (mainly neurons and glia) are organized in multiple levels of intricate networks. The cellular membranes are semipermeable media between extracellular and intracellular solutions, populated by ions and other electrically charged molecules. This represents the basis of electrical currents flowing across cellular membranes, further generating electromagnetic fields that radiate to the scalp electrodes, which record changes in the activity of brain cells. This

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