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Books on the topic 'Servo control'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Nakamura, Masatoshi, Nobuhiro Kyura, and Satoru Goto, eds. Mechatronic Servo System Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95853.

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2

Faillot, J. L., ed. Vibration Control of Flexible Servo Mechanisms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77899-5.

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3

Firoozian, Riazollah. Servo Motors and Industrial Control Theory. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85460-1.

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4

Firoozian, Riazollah. Servo Motors and Industrial Control Theory. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07275-3.

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5

Firoozian, Riazollah. Servo Motors and Industrial Control Theory. Boston, MA: Springer US, 2009.

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6

Faillot, J. L. Vibration Control of Flexible Servo Mechanisms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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7

Industrial servo control systems: Fundamentals and applications. 2nd ed. New York: Marcel Dekker, 2003.

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8

Industrial servo control systems: Fundamentals and applications. New York: M. Dekker, 1996.

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9

Andreas, Kroll, ed. Hydraulic Servo-systems: Modelling, Identification and Control. London: Springer London, 2003.

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10

Kelmar, Laura. Manipulator servo level world modeling. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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11

Fahrbach, Christian. Regelung hochdynamischer elektrischer Servo-Direktantriebe in Fertigungseinrichtungen. Berlin: Springer, 1999.

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12

Servo motor and motion control using digital signal processors. Englewood Cliffs, N.J: Prentice Hall, 1990.

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13

Markatos, P. A methodology for the control of high performance servo-mechanisms. Manchester: UMIST, 1995.

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14

Lu, Chong Yao. On-line self-optimisation of an electrohydraulic servo control system. Salford: University of Salford, 1988.

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15

Liu, Yong. On sliding mode control of hydraulic servo systems and a manipulator. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.

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16

Shaver, Charles. Development of an interface for an ultrareliable fault-tolerant control system and an electronic servo-control unit. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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17

Morris, A. S. Image based visual servo control of a revolute-coordinate (arm and elbow) robot. Sheffield: University, Dept. of Control Engineering, 1986.

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18

Polkovnikov, V. A. Maximum dynamic capabilities of aircraft servo drives: Theory basis : analysis and synthesis. Daytona Beach, Fla: Apollo Aerospace International, 1997.

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19

INSA Symposium on Servo Systems (1980 Vikram Sarabhai Space Centre). Recent advances in servo-mechanisms design and realization in India: Based on papers presented at the INSA Symposium on Servo Systems, held at Vikram Sarabhai Space Centre, Trivandrum, February 20-21, 1980. Bangalore: Publications & Public Relations Unit, Indian Space Research Organisation Headquarters, 1985.

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20

Mahmoud Shafik Hassan Abd Alla. Computer aided analysis and design of a new servo control feed drive for electro discharge machining using piezoelectric ultrasonic motor. Leicester: De Montfort University, 2003.

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21

DC servos: Application and design with MATLAB. Boca Raton: Taylor & Francis, 2011.

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22

Luca, Laura De. Santità, a che serve Dio?: Da Fatima all'attentato contro Giovanni Paolo II. Roma: Socrates, 2005.

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23

Creed, Robert P. Potential for a native weevil to serve as a biological control agent for Eurasian watermilfoil. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1994.

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24

Halme, Jarkko. Utilization of genetic algorithm in on-line tuning of fluid power servos. Lappeenranta: Lappeenranta University of Technology, 1997.

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25

A che cosa serve il sindacato?: Le follie di un sistema bloccato e la scommessa contro il declino. Milano: Mondadori, 2005.

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26

IEEE International Conference on Fuzzy Systems (10th 2001 Melbourne, Australia). The 10th IEEE International Conference on Fuzzy Systems: Meeting the grand challenge : machines that serve people : December, 2001, Sunday 2nd to Wednesday 5th. Piscataway, NJ: IEEE, 2001.

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27

Klimenko, Irina, Nikolay Kozlov, Sergey Kostenko, Anastasia Shamustakimova, and Yulian Mavlyutov. Identification and certification of forage grasses (meadow clover, alfalfa, sowing and hop) based on DNA markers. ru: Federal Williams Research Center of Forage Production and Agroecology, 2020. http://dx.doi.org/10.33814/978-5-6043194-9-9.

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A technology has been developed for DNA identification and certification of varieties of meadow clover (Trifolium pratense L.), alfalfa (Medicago varia Mart.), Sowing (M. sativa L.) and hop (M. lupuli-na L.) based on molecular analysis with using SSR and SRAP markers. The recommendations contain a description of the sequence of experiments and protocols for DNA typing procedures. The presented methods were developed by the authors on the basis of their own experimental research and using the data available in the literature. A characteristic of informative primers for each marking system is given, a set of DNA identification markers is proposed, and unique molecular genetic formulas of varieties are drawn up as the basis for a reference genetic passport. Methodological recommendations were prepared with the aim of mastering the technology of DNA certification of forage grasses in practice. Designed for managers and specialists of research and control laboratories, can serve as a textbook for students and postgraduates in specialized specialties.

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28

Mahaffy, Philip Robert. Replacement of the existing combined hydraulic and electro-mechanical controls on the Autoleveller system fitted to the Lummus Mackie Mark 3 Speedmack textile machine, with the latest in AC Servo drive technology, an industrial microprocessor and electronic hardware. [S.l: The Author], 1992.

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29

Industrial Servo Control Systems. New York: Marcel Dekker, Inc., 2003.

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30

Younkin, George W. Industrial Servo Control Systems. CRC Press, 2002. http://dx.doi.org/10.1201/9780203909454.

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31

(Translator), T. Zhang, ed. Mechatronic Servo System Control. Springer, 2004.

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32

Firoozian, Riazollah. Servo Motors and Industrial Control Theory. Springer, 2014.

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33

-L, Faillot J., ed. Vibration control of flexible servo mechanisms. Berlin: Springer-Verlag, 1993.

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34

Servo Motors And Industrial Control Theory. Springer, 2010.

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35

1919-, Ōshima Yasujirō, and Akiyama Yūji, eds. Servo sensors: Elements and applications. Ventura, CA, USA: Intertec Communications, 1988.

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36

National Institute of Standards and Technology (U.S.), ed. Manipulator servo level task decomposition. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1988.

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37

Senko, Dennis. Principles of Process and Servo Control: A Reference Guide. Society of Manufacturing, 1989.

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38

United States. National Aeronautics and Space Administration., ed. Linear quadratic servo control of a reusable rocket engine. [Washington, DC]: National Aeronautics and Space Administration, 1991.

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39

Hard Disk Drive Servo Systems (Advances in Industrial Control). 2nd ed. Springer, 2006.

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40

Younkin, George W. Industrial Servo Control Systems: Fundamentals and Applications, Second Edition, (Fluid Power and Control). 2nd ed. CRC, 2002.

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41

Younkin, George W. Industrial Servo Control Systems: Fundamentals and Applications, Revised and Expanded. Taylor & Francis Group, 2002.

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42

Ziegler, Michael Alan. Design of a velocity and position control laboratory servo system. 1987.

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43

Yi, Zhang. High performance DSP-based servo drive control for a limited-angle torque motor. 1997.

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44

(Editor), George L. Trigg, and Edmund H. Immergut (Editor), eds. Servo and Control Devices to Sonic Noise, Volume 18, Encyclopedia of Applied Physics. Wiley-VCH, 1997.

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45

National Register of Foreign Collaborations (India) and India. Dept. of Scientific & Industrial Research., eds. Technology in Indian servo, micro, stepper, instrument, and control engineering motors below 1 HP capacity industry: A status report prepared under the National Register of Foreign Collaborations. New Delhi: Govt. of India, Dept. of Scientific & Industrial Research, Ministry of Science & Technology, 1993.

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46

Nielsen, Niklas, and David B. Seder. Non-pharmacological neuroprotection in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0230.

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After control of the primary process causing acute neurological injury, further control of secondary injury pathways can be achieved by manipulating brain temperature, and achieving biochemical and metabolic homeostasis. Surgical techniques are routinely used to remove blood or trapped cerebrospinal fluid, control mass effect, or repair unstable vascular abnormalities. Therapeutic temperature management to a defined target can be achieved and maintained using cold fluids, ice packs, body surface cooling pads, and surface and intravascular devices with servo (feedback) mechanisms. Successful temperature management requires attentive surveillance and control of shivering and other potential complications, such as bleeding, infection, cardiac arrhythmias, and electrolyte and metabolic disturbances. Extremes of oxygenation and ventilation are associated with worse long-term functional outcomes, and should be avoided.

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47

Mason, Peggy. Gaze Control. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0019.

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In addition to serving perception, gaze acts as a powerful social signal and mode of communication. Gaze is altered in several psychiatric diseases and impaired by a variety of central and peripheral lesions. Eye movements that serve to stabilize gaze include the vestibuloocular reflex (VOR) and fixation, whereas eye movements that shift gaze include saccades, cancellation of the VOR, and smooth pursuit. The pontine horizontal gaze center and midbrain vertical gaze center connect to extraocular motoneurons and mediate all eye movements. Neural circuits involved in generating the VOR, horizontal saccades and saccade modulation are described in detail. Nystagmus consequent to unilateral labyrinthine damage is explained. Other forms of nystagmus including the optokinetic response are introduced. The role of internuclear interneurons in coordinating horizontal saccades and their failure in internuclear ophthalmalplegia are detailed. Finally, the mechanisms involved in fixation and smooth pursuit are briefly presented.

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48

Mason, Peggy. Voluntary Motor Control. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0020.

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The motor hierarchy uses muscle twitches as building blocks for complex and consciously driven actions requiring neocortical involvement. Cortical regions operate in concert with the cerebellum and basal ganglia to generate well-timed and organized muscle contractions that produce movements, ranging from simple to complex. Once imbued with meaning, these movements are considered actions. Adjustments in motor commands are made to accommodate changes in muscle load, maintain an upright posture, and anticipate and avoid errors. Brainstem motor control centers employ circuits in lower parts of the motor hierarchy to produce fairly complex movements, such as ingestion or locomotion. Since the brain adds meaning to movements, two different actions can share the same component movements and serve different end goals. Brain lesions may independently impair movements made under different contexts. For example, patients may be unable to smile volitionally while retaining the ability to smile in response to a joke.

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49

Herreros, Ivan. Learning and control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0026.

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This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

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50

Tobin, Stephen M. DC Servos: Application and Design with MATLAB. Taylor & Francis Group, 2010.

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