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Books on the topic 'Control and diagnostic algorithm'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Soufian, M. Advanced control algorithm for process control unit. Manchester: UMIST, 1994.

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2

Ding, Steven X. Model-based fault diagnosis techniques: Design schemes, algorithms, and tools. Berlin: Springer, 2008.

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3

Chun, Thomas Yong Lee. Diagnostic supervisory control a DES approach. Ottawa: National Library of Canada, 1996.

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4

Soufian, Mustapha. A multivariable model predictive control algorithm with constraints. Manchester: University of Manchester, 1995.

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5

Ding, Steven X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. 2nd ed. London: Springer London, 2013.

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6

Zhang, Zhonghua. Smart TCT: An efficient algorithm for supervisory control design. Ottawa: National Library of Canada, 2001.

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7

Stanton, Michael B. An algorithm for control volume analysis of cryogenic systems. Springfield, Va: Available from the National Technical Information Service, 1989.

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8

Edwards, Eric Charles. An algorithm for autonomous flight control of unmanned stationkeeping aircraft. [Downsview, Ont.]: Department of Aerospace Science and Engineering, University of Toronto, 1990.

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9

Palm, William J. A control-configured end effector for a visual servoing algorithm. Kingston, R.I: Dept. of Mechanical Engineering, the University of Rhode Island, 1985.

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10

Edwards, Eric Charles. An algorithm for autonomous flight control of unmanned stationkeeping aircraft. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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11

Palm, William J. A control-configured end effector for a visual servoing algorithm. Kingston, R.I: Dept. of Mechanical Engineering, the University of Rhode Island, 1985.

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12

Nelson, P. A. An algorithm for the automatic control of boundary layer flow. Southampton, England: University of Southampton, Institute of Sound and Vibration Research, 1994.

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13

Collins, E. A homotopy algorithm for digital optimal projection control, GASD-HADOC. Melbourne, Fla: Harris Corp., Government Aerospace System Division, 1993.

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14

Samanant, Paul. Description of the AILS alerting algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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15

Danley, D. R. Development of photovoltaic-diesel hybrid system design incorporating advanced control algorithm. Ottawa: The Branch, 1990.

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16

Hon, Herbert. An adaptive bandwidth enforcement and congestion control algorithm for broadband ISDN. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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17

Birnbaum, Ralph. OBD II diagnostic strategies. [United States]: R. Birnbaum, 2002.

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18

Gordon, Sallie E. Manual and computer-aided sequential diagnostic inference. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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19

C, McGurrin Martin. Pathological gambling: Conceptual, diagnostic, and treatment issues. Sarasota, Fla: Professional Resource Press, 1992.

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20

Chavaudret, François. Le diagnostic d'entreprise: Vers une charte de la qualité. Paris: Editions Romillat, 1993.

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21

Allen, Cheryl L. Guidance, navigation, and control subsystem equipment selection algorithm using expert system methods. Hampton, Va: Langley Research Center, 1991.

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22

Hall, Andrew O. A MATLAB GUI for a Legendre Pseudospectral algorithm for optimal control problems. Monterey, Calif: Naval Postgraduate School, 1999.

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23

Malygin, Andrei. Adaptive modulation and its control algorithm as a satellite communications fade measure. Portsmouth: University of Portsmouth, Dept. of Electrical and Electronic Engineering, 1998.

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24

Graham, Ronald E. Linearization of digital derived rate algorithm for use in linear stability analysis. [Washington, DC?]: National Aeronautics and Space Administration, 1985.

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25

Eskandarian, Azim. A reference model dynamics-CMAC algorithm for simulation and control of robotic manipulators. [S.l.]: George Washington University, 1991.

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26

Hammami, Manel. Level Doubling Network and Ripple Correlation Control MPPT Algorithm for Grid-Connected Photovoltaic Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10492-4.

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27

Quality management in the imaging sciences. 4th ed. Maryland Heights, Mo: Mosby Elsevier, 2011.

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28

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

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29

Knox, Charles E. Ground-based time-guidance algorithm for control of airplanes in a time-metered air traffic control environment: A piloted simulation study. Hampton, Va: Langley Research Center, 1986.

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30

Methods, Algorithms and Circuits for Photovoltaic Systems Diagnosis and Control. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0541-1.

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31

Galynker, Igor. Suicide Crisis Syndrome. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0007.

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Research has shown that the suicide crisis syndrome (SCS) is a suicide-specific diagnosable condition that is associated with imminent suicidal behavior. This chapter proposes Diagnostic and Statistical Manual of Mental Disorders criteria for SCS and provides a detailed description of its proposed structure and symptoms. Discussion of long-term versus short-term suicide risk and of suicide warning signs is followed by a discussion of the lack of predictive validity of self-reported suicidal ideation and intent with regard to imminent suicidal behavior. The core of the chapter consists of detailed description of the SCS main components: entrapment, affective disturbance in its many forms (emotional pain, anhedonia, frantic anxiety, and depressive turmoil), loss of cognitive control in several forms (ruminations, cognitive rigidity, thought suppression, and ruminative flooding), and altered arousal. The chapter concludes with the SCS assessment algorithm, representative case descriptions, and a test case.

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32

A reliable algorithm for optimal control synthesis. [Washington, DC: National Aeronautics and Space Administration, 1992.

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33

Uy-Loi, Ly, and United States. National Aeronautics and Space Administration., eds. A reliable algorithm for optimal control synthesis. [Washington, DC: National Aeronautics and Space Administration, 1992.

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34

The minimal time detection algorithm. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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35

The minimal time detection algorithm. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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36

United States. National Aeronautics and Space Administration., ed. The minimal time detection algorithm. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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37

Martin, Colin J., and David G. Sutton. Risk control in diagnostic medical exposures. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0011.

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All medical exposures to ionizing radiation carry an increased risk of malignant disease. This chapter describes methods for evaluating the risks from exposures of varying magnitude from either the effective dose or doses to individual organs. Risk factors which can be utilized in assessments are included. Procedures should only be carried out if they will influence patient management and factors to be considered in the justification process are considered. In addition, techniques should be optimized so that doses to individual patients are as low as compatible with the medical requirements of each examination. The explanation of risks to patients is discussed for situations when a patient is to undergo a high dose procedure or has received an exposure greater than intended.

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38

Ding, Steven X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. Springer, 2013.

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39

Abdulrahman, Adel Abdulgalil Hazaa. A non-linear process control algorithm and its application. 2002.

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40

Chow, Wah Keh. Automated pole placement algorithm for multivariable optimal control synthesis. 1985.

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41

Energy Dissipation and Vibration Control: Modeling, Algorithm and Devices. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03842-786-5.

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42

Henning, Scott A. Diagnostic analysis for mechanical systems. 2000.

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43

1945-, Miller J. Michael, and Wentworth Berttina B, eds. Methods for quality control in diagnostic microbiology. Washington, D.C: American Public Health Association, 1985.

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44

S, Mehta R., and United States. National Aeronautics and Space Administration., eds. Adaptive control and noise suppression by a variable-gain gradient algorithm. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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45

Harald, Buschek, Calise Anthony J, and United States. National Aeronautics and Space Administration., eds. Homotopy algorithm for fixed order mixed H₂/H[infinity] design. [Washington, DC: National Aeronautics and Space Administration, 1996.

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46

Stephen, Richter, Davis Lawrence D, and United States. National Aeronautics and Space Administration., eds. A homotopy algorithm for digital optimal projection control, GASD-HADOC. Melbourne, Fla: Harris Corp., Government Aerospace System Division, 1993.

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47

ZHU, [. AO ]. Peter Corke. Robotics. machine vision and control -- Based on the MATLAB algorithm. Electronic Industry Publishing House, 2016.

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48

Algorithm Development for On-Line Control of the Airborne Laser. Storming Media, 2000.

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49

B, Wuertz David, and Wave Propagation Laboratory, eds. Quality control algorithm for profiler measurements of winds and temperatures. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1991.

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50

International Spring Fuels & Lubricants Meeting (1996 : Dearborn, Mich.), ed. Topics in advanced emission control and diagnostic sensors. Warrendale, PA: Society of Automotive Engineers, 1996.

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