Journal articles on the topic 'Guidance and control'

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1

Luque, Juan C. Cutipa, and Decio Crisol Donha. "AUV Robust Guidance Control*." IFAC Proceedings Volumes 41, no. 1 (2008): 85–90. http://dx.doi.org/10.3182/20080408-3-ie-4914.00016.

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2

Seshadri, V. "Control Systems And Guidance." IETE Journal of Education 27, no. 1 (January 1986): 10–14. http://dx.doi.org/10.1080/09747338.1986.11436092.

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3

Siouris,, George M. "Missile Guidance and Control Systems." Applied Mechanics Reviews 57, no. 6 (November 1, 2004): B32. http://dx.doi.org/10.1115/1.1849174.

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4

Qazizadeh, Alireza, Sebastian Stichel, and Hamid Reza Feyzmahdavian. "Wheelset curving guidance usingH∞control." Vehicle System Dynamics 56, no. 3 (November 7, 2017): 461–84. http://dx.doi.org/10.1080/00423114.2017.1391396.

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5

MIYAZAWA, Yoshikazu, Tatsushi IZUMI, Shigeru ASAI, and Masaru OKA. "Guidance and Control of ALFLEX." Journal of the Japan Society for Aeronautical and Space Sciences 46, no. 528 (1998): 18–28. http://dx.doi.org/10.2322/jjsass1969.46.18.

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6

O’Hara, John, James Higgins, and Stephen Fleger. "Control Room Design Review Guidance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, no. 1 (September 2014): 2250–54. http://dx.doi.org/10.1177/1541931214581469.

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7

Sekkides, Onisillos. "ECDC issues chlamydia control guidance." Lancet Infectious Diseases 9, no. 9 (September 2009): 530. http://dx.doi.org/10.1016/s1473-3099(09)70215-4.

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8

Todd, Patrick, and Neal A. Tognazzini. "A PROBLEM FOR GUIDANCE CONTROL." Philosophical Quarterly 58, no. 233 (October 2008): 685–92. http://dx.doi.org/10.1111/j.1467-9213.2008.576.x.

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9

Feng, Mei, Chan Li, and Sarah McVay. "Internal control and management guidance." Journal of Accounting and Economics 48, no. 2-3 (December 2009): 190–209. http://dx.doi.org/10.1016/j.jacceco.2009.09.004.

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10

Lin, Chih-Min, Chun-Fei Hsu, Shing-Kuo Chang, and Rong-Jong Wai. "GUIDANCE LAW EVALUATION FOR MISSILE GUIDANCE SYSTEMS." Asian Journal of Control 2, no. 4 (October 22, 2008): 243–50. http://dx.doi.org/10.1111/j.1934-6093.2000.tb00029.x.

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11

Staffetti, Ernesto, Xiang Li, Yoshinori Matsuno, and Manuel Soler. "Optimal Control Techniques in Aircraft Guidance and Control." International Journal of Aerospace Engineering 2019 (August 5, 2019): 1–2. http://dx.doi.org/10.1155/2019/3026083.

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12

O'Connor, Matthew, Bruce Geddes, and Sean Kelley. "ICONE23-1396 GUIDANCE AND METHODOLOGIES FOR MANAGING DIGITAL INSTRUMENTATION & CONTROL OBSOLESCENCE." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_183.

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13

ATTIA, Rachid, Rodolfo ORJUELA, and Michel BASSET. "Longitudinal Control for Automated Vehicle Guidance." IFAC Proceedings Volumes 45, no. 30 (2012): 65–71. http://dx.doi.org/10.3182/20121023-3-fr-4025.00049.

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14

Luque, Juan C. Cutipa, and Decio Crisol Donha. "ROBUST CONTROL FOR UNDERWATER VEHICLE GUIDANCE." IFAC Proceedings Volumes 40, no. 17 (2007): 355–60. http://dx.doi.org/10.3182/20070919-3-hr-3904.00062.

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15

Tan, Jiyuan, Chunling Xu, Li Li, Fei-Yue Wang, Dongpu Cao, and Lingxi Li. "Guidance control for parallel parking tasks." IEEE/CAA Journal of Automatica Sinica 7, no. 1 (January 2020): 301–6. http://dx.doi.org/10.1109/jas.2019.1911855.

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16

Janssen, Peter, and Hansjörg Scherberger. "Visual Guidance in Control of Grasping." Annual Review of Neuroscience 38, no. 1 (July 8, 2015): 69–86. http://dx.doi.org/10.1146/annurev-neuro-071714-034028.

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17

L. A. Smith, R. L. Schafer, and R. E. Young. "Control Algorithms for Tractor-Implement Guidance." Transactions of the ASAE 28, no. 2 (1985): 415–19. http://dx.doi.org/10.13031/2013.32270.

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18

Broomhead, David. "Guidance on the control of chaos." Physics World 5, no. 8 (August 1992): 19. http://dx.doi.org/10.1088/2058-7058/5/8/24.

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19

Aymes, Jean-Marc, and Joël Bordeneuve-Guibé. "Advanced Predictive Control for Aircraft Guidance." IFAC Proceedings Volumes 29, no. 1 (June 1996): 7576–81. http://dx.doi.org/10.1016/s1474-6670(17)58908-9.

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20

Källström, Claes G. "Guidance and control of ocean vehicles." Automatica 32, no. 8 (August 1996): 1235. http://dx.doi.org/10.1016/0005-1098(96)82331-4.

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21

Suter, Tracey A. C. S., Zachary J. DeLoughery, and Alexander Jaworski. "Meninges-derived cues control axon guidance." Developmental Biology 430, no. 1 (October 2017): 1–10. http://dx.doi.org/10.1016/j.ydbio.2017.08.005.

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22

Fleeter, R., and R. Warner. "Guidance and Control of Miniature Satellites." IFAC Proceedings Volumes 22, no. 7 (July 1989): 243–48. http://dx.doi.org/10.1016/s1474-6670(17)53413-8.

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23

Liaw, Der-Cherng, Yew-Wen Liang, and Chiz-Chung Cheng. "Nonlinear Control for Missile Terminal Guidance." Journal of Dynamic Systems, Measurement, and Control 122, no. 4 (February 4, 2000): 663–68. http://dx.doi.org/10.1115/1.1316796.

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Variable Structure Control (VSC) technique is applied to the design of robust homing missile guidance laws. In the design procedure, the target’s maneuver is assumed to be unpredictable and is considered as disturbances. Guidance laws are then proposed to achieve the interception performance for both cases of longitude-axis control being available and unavailable. The proposed guidance laws are continuous which alleviate chattering drawback by classic VSC design. Results are obtained and compared with those by realistic true proportional navigation design to illustrate the benefits of the proposed design. [S0022-0434(00)00604-3]
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24

Sclabassi, R. J., D. Krieger, R. Simon, R. Lofink, G. Gross, and D. M. DeLauder. "NeuroNet: collaborative intraoperative guidance and control." IEEE Computer Graphics and Applications 16, no. 1 (1996): 39–45. http://dx.doi.org/10.1109/38.481601.

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25

Helmecke, Megan R., Donna L. Kent, and Sarah L. Elmendorf. "Challenges of Applying Measles Control Guidance." American Journal of Infection Control 41, no. 6 (June 2013): S137. http://dx.doi.org/10.1016/j.ajic.2013.03.272.

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26

Ehmanns, Dirk, Peter Zahn, Helmut Spannheimer, and Raymond Freymann. "Integrated longitudinal and lateral guidance control." ATZ worldwide 105, no. 4 (April 2003): 10–13. http://dx.doi.org/10.1007/bf03224592.

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27

Shima, T., and O. M. Golan. "End-game guidance laws for dual-control missiles." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 219, no. 2 (February 1, 2005): 157–70. http://dx.doi.org/10.1243/095441005x7249.

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New guidance laws derived for a dual-control missile are studied. Their performance is compared with that of a conventional guidance system with flight control that distributes the commands among the two control channels. A Monte Carlo simulation study is performed where the target executes random evasive manoeuvres. The interceptor, represented by linear high-order manoeuvring dynamics with bounded forward and aft controls, acquires noisy measurements and uses a state estimator. Using the single-shot kill probability as a performance criterion, the superiority of the new guidance and control architecture is shown. It is also shown that the best performance is obtained by the bounded controls differential game guidance law. Sensitivity to the selection of the interceptor first-order time constant, a design parameter in the guidance law derivation, is also investigated.
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28

Panchal, Bhavnesh, Nilesh Mate, and S. E. Talole. "Continuous-Time Predictive Control-Based Integrated Guidance and Control." Journal of Guidance, Control, and Dynamics 40, no. 7 (July 2017): 1579–95. http://dx.doi.org/10.2514/1.g002661.

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29

Park, Bong-Gyun, Tae-Hun Kim, and Min-Jea Tahk. "Time-Delay Control for Integrated Missile Guidance and Control." International Journal of Aeronautical and Space Sciences 12, no. 3 (September 30, 2011): 260–65. http://dx.doi.org/10.5139/ijass.2011.12.3.260.

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30

Caccia, M., and G. Bruzzone. "Execution control of ROV navigation, guidance and control tasks." International Journal of Control 80, no. 7 (July 2007): 1109–24. http://dx.doi.org/10.1080/00207170701242523.

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31

Ukko, Juhani, Minna Saunila, Mina Nasiri, Tero Rantala, and Mira Holopainen. "Digital twins’ impact on organizational control: perspectives on formal vs social control." Information Technology & People 35, no. 8 (May 31, 2022): 253–72. http://dx.doi.org/10.1108/itp-09-2020-0608.

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PurposeThis study examines the connection between different digital-twin characteristics and organizational control. Specifically, the study aims to examine whether the digital-twin characteristics exploration, guidance and gamification will affect formal and social control.Design/methodology/approachThe study is based on an analysis of survey results from 139 respondents comprising applied university students who use digital twins.FindingsThe results offer an interesting contribution to the literature. The authors consider the digital-twin characteristics exploration, guidance and gamification and investigate their contribution to two types of organizational controls: formal and social. The results show that two characteristics, exploration and gamification, affect the extent to which digital twins can be utilized for social control. Exploration and guidance’s role is significant concerning the extent to which digital twins can be utilized for formal control.Originality/valueThis study contributes to literature by considering multiple digital-twin characteristics and their contribution to two different control outcomes. First, it diverges from previous technical-oriented research by investigating digital twins in a human context. Second, the study is the first to examine digital twins’ effects from an organizational control perspective systematically.
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32

Ukko, Juhani, Minna Saunila, Mina Nasiri, Tero Rantala, and Mira Holopainen. "Digital twins’ impact on organizational control: perspectives on formal vs social control." Information Technology & People 35, no. 8 (May 31, 2022): 253–72. http://dx.doi.org/10.1108/itp-09-2020-0608.

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PurposeThis study examines the connection between different digital-twin characteristics and organizational control. Specifically, the study aims to examine whether the digital-twin characteristics exploration, guidance and gamification will affect formal and social control.Design/methodology/approachThe study is based on an analysis of survey results from 139 respondents comprising applied university students who use digital twins.FindingsThe results offer an interesting contribution to the literature. The authors consider the digital-twin characteristics exploration, guidance and gamification and investigate their contribution to two types of organizational controls: formal and social. The results show that two characteristics, exploration and gamification, affect the extent to which digital twins can be utilized for social control. Exploration and guidance’s role is significant concerning the extent to which digital twins can be utilized for formal control.Originality/valueThis study contributes to literature by considering multiple digital-twin characteristics and their contribution to two different control outcomes. First, it diverges from previous technical-oriented research by investigating digital twins in a human context. Second, the study is the first to examine digital twins’ effects from an organizational control perspective systematically.
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33

Sung, Jae min, Eu Jene Han, Min Sup Song, and Byoung Soo Kim. "Design the Guidance and Control for Precision Guidance Munitions using Reference Trajectory." Journal of the Korea Institute of Military Science and Technology 18, no. 2 (April 5, 2015): 181–88. http://dx.doi.org/10.9766/kimst.2015.18.2.181.

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34

Ma, Shuai, Xugang Wang, and Zhongyuan Wang. "Field-of-View Constrained Impact Time Control Guidance via Time-Varying Sliding Mode Control." Aerospace 8, no. 9 (September 6, 2021): 251. http://dx.doi.org/10.3390/aerospace8090251.

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The problem of impact time control guidance with field-of-view constraint is addressed based on time-varying sliding mode control. The kinematic conditions that satisfy the impact time control with field-of-view constraint are defined, and then a novel time-varying sliding surface is constructed to achieve the defined conditions. The sliding surface contains two unknown coefficients: one is tuned to achieve the global sliding surface to satisfy the impact time constraint and zero miss distance, and the other is tuned to guarantee the field-of-view constraint. The guidance law is designed to ensure the realization of the global sliding mode. On this basis, the guidance law is modified to a closed-loop structure, and the maximum detection capability of the seeker is utilized to a greater extent. Under the proposed guidance law, neither the small angle assumption nor time-to-go estimation is needed. The guidance command is continuous and converges to 0 at the desired impact time. Simulation results demonstrate the effectiveness and superiority of the proposed guidance law.
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35

Binazadeh, T., and M.-J. Yazdanpanah. "Robust partial control design for non-linear control systems: a guidance application." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 226, no. 2 (September 16, 2011): 233–42. http://dx.doi.org/10.1177/0959651811413013.

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In this paper, a general approach for robust partial stabilization of uncertain non-linear systems is presented. In this approach, the non-linear dynamic system is divided into two subsystems, called the first and the second subsystems. This division is done based on the required stability properties of the system’s states. The reduced input vector (the vector that includes components of the input vector appearing in the first subsystem) is designed to asymptotically stabilize the first subsystem. The proposed scheme is then applied for designing a guidance law as a potential application. Indeed, the paper presents a new approach to the missile guidance problem and shows that asymptotic stability behaviour is not realistic for all states of the guidance system. The effectiveness of the proposed guidance law in interception of manoeuvring targets is demonstrated analytically and through computer simulations.
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36

Kim, Kangsoo, and Tamaki Ura. "Applied Model-Based Analysis and Synthesis for the Dynamics, Guidance, and Control of an Autonomous Undersea Vehicle." Mathematical Problems in Engineering 2010 (2010): 1–23. http://dx.doi.org/10.1155/2010/149385.

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Model-based analysis and synthesis applied to the dynamics, guidance, and control of an autonomous undersea vehicle are presented. As the dynamic model for describing vehicle motion mathematically, the equations of motion are derived. The stability derivatives in the equations of motion are determined by a simulation-based technique using computational fluid dynamics analysis. The dynamic model is applied to the design of the low-level control systems, offering model-based synthetic approach in dynamics and control applications. As an intelligent navigational strategy for undersea vehicles, we present the optimal guidance in environmental disturbances. The optimal guidance aims at the minimum-time transit of a vehicle in an environmental flow disturbance. In this paper, a newly developed algorithm for obtaining the numerical solution of the optimal guidance law is presented. The algorithm is a globally working procedure deriving the optimal guidance in any deterministic environmental disturbance. As a fail-safe tactic in achieving the optimal navigation in environments of moderate uncertainty, we propose the quasi-optimal guidance. Performances of the optimal and the quasi-optimal guidances are demonstrated by the simulated navigations in a few environmental disturbances.
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37

Ali, Syed Ussama, Raza Samar, M. Zamurad Shah, Aamer I. Bhatti, and Khalid Munawar. "Higher-order sliding mode based lateral guidance for unmanned aerial vehicles." Transactions of the Institute of Measurement and Control 39, no. 5 (December 23, 2015): 715–27. http://dx.doi.org/10.1177/0142331215619972.

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A nonlinear sliding mode based scheme is developed for lateral guidance of unmanned aerial vehicles. The guidance and control system is considered as an inner and outer loop design problem, the outer guidance loop generates commands for the inner control loop to follow. Control loop dynamics is considered during derivation of the guidance logic, along with saturation constraints on the guidance commands. A nonlinear sliding manifold is selected for guidance logic design, the guidance loop generates bank angle commands for the inner roll control loop to follow. The real twisting algorithm, a higher order sliding mode algorithm is used for guidance logic design. Existence of the sliding mode along with boundedness of the guidance command is proved to ensure that controls are not saturated for large track errors. The proposed logic also contains an element of anticipatory or feed-forward control, which enables tight tracking for sharply curving paths. Efficacy of the proposed method is verified by flight testing on a scaled YAK-54 unmanned aerial vehicle. Flight results demonstrate robustness and effectiveness of the proposed guidance scheme in the presence of disturbances.
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38

Ishibashi, Shozo. "Control Evaluation and Control Parameter Adjustment Guidance by AHP Method." IEEJ Transactions on Electronics, Information and Systems 136, no. 5 (2016): 609–16. http://dx.doi.org/10.1541/ieejeiss.136.609.

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39

Chai, Runqi, Al Savvaris, and Senchun Chai. "Integrated missile guidance and control using optimization-based predictive control." Nonlinear Dynamics 96, no. 2 (February 19, 2019): 997–1015. http://dx.doi.org/10.1007/s11071-019-04835-8.

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40

Plant, Peter, and Helene Valgreen. "flip side: Career guidance policies and social control." Journal of the National Institute for Career Education and Counselling 32, no. 1 (April 1, 2014): 15–18. http://dx.doi.org/10.20856/jnicec.3203.

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Career guidance in most European countries is increasingly an area of policy interest. Not so much with a focus on guidance itself, but more preoccupied with other policy areas in which career guidance may have a role to play: employment, education, social inclusion, gender equality, and economic development, just to mention a few. This mirrors a strong policy focus on the role of guidance as a soft societal steering instrument. This poses dilemmas in relation to the delicate balance between guidance as an instrument for personal development, and guidance as social control.
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41

Chentsov, A. G. "Quasistrategies in an abstract guidance control problem." Russian Mathematics 52, no. 10 (October 2008): 46–59. http://dx.doi.org/10.3103/s1066369x08100071.

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42

Zwierzewicz, Zenon. "SHIP GUIDANCE VIA NONLINEAR ADAPTIVE CONTROL SYNTHESIS." IFAC Proceedings Volumes 40, no. 17 (2007): 93–98. http://dx.doi.org/10.3182/20070919-3-hr-3904.00017.

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43

Aguilar, Lizbeth Paredes, and Decio Crisol Donha. "AUV Guidance and Navigation using Intelligent Control." IFAC Proceedings Volumes 42, no. 18 (2009): 223–28. http://dx.doi.org/10.3182/20090916-3-br-3001.0064.

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44

Doman, David B. "Introduction: Reusable Launch Vehicle Guidance and Control." Journal of Guidance, Control, and Dynamics 27, no. 6 (November 2004): 929. http://dx.doi.org/10.2514/1.14041.

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45

Harl, Nathan, and S. N. Balakrishnan. "Reentry Terminal Guidance Through Sliding Mode Control." Journal of Guidance, Control, and Dynamics 33, no. 1 (January 2010): 186–99. http://dx.doi.org/10.2514/1.42654.

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46

Ratnoo, Ashwini. "Nonswitching Guidance Law for Trajectory Shaping Control." Journal of Guidance, Control, and Dynamics 40, no. 10 (October 2017): 2721–28. http://dx.doi.org/10.2514/1.g002459.

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47

SUGIYAMA, Seiji, and Sadao AKISHITA. "Optimal Horizontal Guidance for Vehicle Traffic Control." Transactions of the Society of Instrument and Control Engineers 35, no. 9 (1999): 1207–12. http://dx.doi.org/10.9746/sicetr1965.35.1207.

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48

Dellicker, Scott, Richard Benney, and Glen Brown. "Guidance and Control for Flat-Circular Parachutes." Journal of Aircraft 38, no. 5 (September 2001): 809–17. http://dx.doi.org/10.2514/2.2865.

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49

O'Hara, John, William Brown, William Stubler, James Higgins, Jerry Wachtel, and J. J. Persensky. "Human Factors Guidance for Control Room Evaluation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 519–22. http://dx.doi.org/10.1177/154193120004402205.

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The Human-System Interface Design Review Guideline (NUREG-0700, Revision 1) was developed by the U.S. Nuclear Regulatory Commission (NRC) to provide human factors guidance as a basis for the review of advanced human-system interface technologies. The guidance consists of three components: design review procedures, human factors engineering guidelines, and a software application to provide design review support called the “Design Review Guideline.” Since it was published in June 1996, Rev. 1 to NUREG-0700 has been used successfully by NRC staff, contractors and nuclear industry organizations, as well as by interested organizations outside the nuclear industry. The NRC has committed to the periodic update and improvement of the guidance to ensure that it remains a state-of-the-art design evaluation tool in the face of emerging and rapidly changing technology. This paper addresses the current research to update of NUREG-0700 based on the substantial work that has taken place since the publication of Revision 1.
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50

Hoag, David G. "Navigation, Guidance, and Control Problems of Spacecraft." Annals of the New York Academy of Sciences 134, no. 1 (February 26, 2008): 459–74. http://dx.doi.org/10.1111/j.1749-6632.1965.tb56177.x.

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