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1

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

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2

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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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

Motor cars and serv-us stations. Aberdeen, WA: Jones Photo Co., 1998.

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7

Scarpino, Matthew. Motors for makers: A guide to steppers, servos, and other electrical machines. Indianapolis, USA: Que, 2016.

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8

Voss, Wilfried. A Comprehensible Guide to Servo Motor Sizing. Copperhill Technologies Corporation, 2007.

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9

Rossitto, Vincent S. Pulse width modulator controller design for a brushless dc motor position servo. 1987.

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10

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

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11

The World Market for Brakes, Servo-Brakes, and Parts for Tractors, Motor Cars, and Other Motor Vehicles: A 2004 Global Trade Perspective. Icon Group International, Inc., 2005.

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12

Parker, Philip M. The World Market for Brakes, Servo-Brakes, and Parts for Tractors, Motor Cars, and Other Motor Vehicles: A 2007 Global Trade Perspective. ICON Group International, Inc., 2006.

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13

Wong, Yuen-Chong. A novel microprocessor controlled 4-quadrant DC-to-DC converter for a DC servo motor drive. 1994.

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14

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

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15

Servo Motors And Industrial Control Theory. Springer, 2010.

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16

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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17

Montgomery, Erwin B. DBS Effects on Motor Control. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259600.003.0007.

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Use of DBS extends beyond what are typically referred to as “movement disorders,” for which issues of motor control are paramount; currently approved for treatment of refractory obsessive-compulsive disorder (OCD) disorder, DBS is expected to gain approval as a treatment for epilepsy as well. Indeed, no neurological or psychiatric disorder ought to be excluded a priori from consideration as a potential indication for DBS. Post-operative management of DBS for these other disorders will benefit from a better understanding of the mechanisms of action. An understanding of the ways in which the brain responds to DBS (see Chapter 6—Nervous System Responses to DBS) related to motor control may therefore serve as an important metaphor for understanding the use of DBS for other conditions.
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18

Guillery, Ray. The role of the thalamocortical hierarchy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0013.

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This chapter presents evidence that at each level of the thalamocortical hierarchy the strength of our conscious perceptions increases. Conscious processes are not all-or-none effects, they are graded. Four factors may be particularly relevant for understanding the neural production of conscious experiences: (1) the actions of the thalamic gate; (2) the neural activity that anticipates an organism’s actions; (3) the activity of the hierarchy of cortical monitors; and particularly (4) the motor actions produced by the outputs of the cortical monitors and acting on the phylogenetically old parts of the brain: these serve to keep actions in accord with anticipations.
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19

Norbom, Herb. Raspberry Pi Python Projects: Servos, Stepper, DC Motors, Ultra Sonic Sensor, Infrared Detector, Thumb Joy Stick and more. CreateSpace Independent Publishing Platform, 2017.

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20

Pittelkow, Mark R., Charles L. Loprinzi, and Thomas P. Pittelkow. Pruritus and sweating in palliative medicine. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0112.

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Itching (pruritus) and sweating (perspiration, diaphoresis) are physiological functions of the skin that normally serve human existence well. Itching is the sensory input arising from the skin and mucous membranes that alerts man to potentially harmful insults from physical, chemical, and biological sources. The reflex of scratching is closely linked to the perception of itch, and in most situations functions effectively as an aversive motor response to relieve the sensation and protect the skin. Similarly, sweating is a well-developed and finely coordinated sudomotor response designed to regulate body temperature and prevent hyperthermia. However, both pruritus and sweating have the potential to function aberrantly and develop into pathological conditions that create significant suffering and morbidity. This chapter provides a practical overview of the normal function and pathophysiology of pruritus and sweating, and offer a variety of therapeutic options and general comforting measures for patients experiencing these maladies.
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21

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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22

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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