Relevant bibliographies by topics / Target control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Target control'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Target control"

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Dada, Olaniyi, Modupe Aderemi Ogundapo, and Ishola Abel Oladeji. "Target Costing: A Strategic Management Accounting Tool for Enhancing Institutional Competitiveness." Journal of Forensic accounting & Fraud Investigation (JFAFI) 10, Issue 1, January - June, 2025 (2024): 107–22. https://doi.org/10.5281/zenodo.15438082.

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The study examined target costing as a strategic management accounting tool for enhancing institutional competitiveness. In the context of financial targets and target control, the study investigated the awareness and application of target costing among top performing and highly ranked Nigerian Private Universities.  The sample frame is accredited private universities. To ensure regional diversity for the scope of the study, universities were selected from the southwest, North-Central and North-East. The study adopted purposive sampling techniques to arrive at top
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Li, Guoqi, Pei Tang, Xumin Chen, et al. "Target control and expandable target control of complex networks." Journal of the Franklin Institute 357, no. 6 (2020): 3541–64. http://dx.doi.org/10.1016/j.jfranklin.2019.11.064.

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Pearson, R. K., and B. A. Ogunnaike. "Target-Set Control." IFAC Proceedings Volumes 37, no. 1 (2004): 373–78. http://dx.doi.org/10.1016/s1474-6670(17)38760-8.

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Doyen, L., and M. Quincampoix. "Multi-Target Control Problems." Journal of Optimization Theory and Applications 93, no. 1 (1997): 121–39. http://dx.doi.org/10.1023/a:1022601901895.

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Dattani, Justine, Jack C. H. Blake, and Frank M. Hilker. "Target-oriented chaos control." Physics Letters A 375, no. 45 (2011): 3986–92. http://dx.doi.org/10.1016/j.physleta.2011.08.066.

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Mou, Shaoshuai, Ming Cao, and A. Stephen Morse. "Target-point formation control." Automatica 61 (November 2015): 113–18. http://dx.doi.org/10.1016/j.automatica.2015.08.004.

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Wang, Wenchu, Defu Cai, and Xueming Liu. "Control capacity and bimodality in target control." Europhysics Letters 139, no. 5 (2022): 51004. http://dx.doi.org/10.1209/0295-5075/ac8a11.

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Abstract Controlling large networks is a fundamental problem and a great challenge in network science. Typically, full control is not necessary and infeasible. In many cases, only a preselected subset of nodes is required to be controlled, which is the target control problem. Each node does not participate in controlling the target set with equal probability, prompting us to quantify their contributions for target control. Here we develop a random sampling method to estimate the likelihood of each node participating as a driver node in target control configurations and demonstrate the unbiased
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Jeon, In-Soo, and Mark Karpenko. "Off-Target Look Angle Control Guidance Law for Moving Targets." Journal of Guidance, Control, and Dynamics 42, no. 11 (2019): 2432–42. http://dx.doi.org/10.2514/1.g004278.

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Wang, Jifang, Shengtao Geng, QingE Wu, Wei Wang, and Tianshe Yang. "A Target Control Method Through Eliminating Fuzziness of Target." Journal of Computational and Theoretical Nanoscience 13, no. 11 (2016): 8658–65. http://dx.doi.org/10.1166/jctn.2016.6027.

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Stiling, Peter. "Biological Control not on Target." Biological Invasions 6, no. 2 (2004): 151–59. http://dx.doi.org/10.1023/b:binv.0000022130.54793.b7.

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Dissertations / Theses on the topic "Target control"

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Mahoney, Richard M. "Human target-directed position control." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320154.

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He, Yi. "Hitting the target by stochastic dynamic control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ63707.pdf.

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Hammond, Victor W., Ralph L. Stegall, Dana F. Gumb, and William H. Wilson. "CONTROL OF MULTIPLE TARGET DRONES USING THE AN/MPS-39 MULTIPLE OBJECT TRACKING RADAR AND VEGA TARGET CONTROL SYSTEM." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614539.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>Modern aircraft testing and training increasingly demand the use of multiple targets. A novel method to meet this requirement is to use the new AN/MPS-39 Multiple Object Tracking Radar (MOTR) with Vega Target Control System equipment. The AN/MPS-39 can be loosely described as the equivalent of ten AN/FPS-16 radars. This equivalency, due largely to the AN/MPS-39’s phased array antenna, immediately suggests the controlling of multiple target drones
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Walker, David H. "Coordinated UAV Target Assignment Using Distributed Calculation of Target-Task Tours." BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/130.

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This thesis addresses the improvement of cooperative task allocation to vehicles in multiple-vehicle, multiple-target scenarios through the use of more effective preplanned tours. Effective allocation of vehicles to targets requires knowledge of both the team objectives and the contributions that individual vehicles can make toward accomplishing team goals. This is primarily an issue of individual vehicle path planning --- determining the path the vehicles will follow to accomplish individual and team goals. Conventional methods plan optimal point-to-point path segments that often result in
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Zhao, Honglin, Xianming Zhao, and Tingxian Zhou. "Remote Control Multiple Mobile Target System with CDMA." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611458.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>At present, multiple mobile targets will be remote controlled in many remote control and telemetry system, in which multiple access technology will be applied. This paper proposes a communication scheme to remote control multiple mobile targets using Coded-Division Multiple Access(CDMA) technique. It's feasibility, advantage and shortcoming are analyzed. Moreover, the key techniques of Direct-Sequence Spread Spectrum(DS/SS) system, i.e. the correlatio
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Nellesen, David T. "Transcriptional control of Notch target genes in Drosophila /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9911849.

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Yin, Wenjie. "Machine Learning for Adaptive Cruise Control Target Selection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264918.

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Vehicles will be more complex, safe, and intelligent in the future. For instance, with the support of the advanced driver assistance system (ADAS), the safety and comfort of the driver and the passengers can be significantly improved. This degree project proposes data-driven solutions for adaptive cruise control (ACC) target selection that can be used to select one of the preceding vehicles as the primary target that similar to the choice of human drivers. This master degree project was carried out at Scania CV AB. A shared-network and a shared-LSTM network were used to select the primary targ
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Erlandsson, Tina. "Angle-Only Target Tracking." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8537.

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<p>In angle-only target tracking the aim is to estimate the state of a target with use of measurement of elevation and azimuth. The state consists of relative position and velocity between the target and the platform. The platform is an Unmanned Aerial Vehicle (UAV) and the tracking system is meant to be a part of the platform’s anti-collision system. In the case where both the target and the platform travel with constant velocity the angle measurements do not provide any information of the range between the target and the platform. The platform has to maneuver to be able to estimate the range
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Hyllengren, Jonas. "Clustering for Multi-Target Tracking." Thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143807.

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This thesis presents a clustering-based approach to decrease the computational cost of data association in multi-target tracking. This is achieved by clustering the sensor tracks using approximate distance functions, thereby decreasing the number of possible associations and the need to calculate expensive statistical distances between tracks. The studied tracking problem includes passive and active sensors with built-in filters. Statistical and non-statistical distance functions were designed to account for the characteristics of the different combinations of sensors. The computational cost a
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Long, Matthew Robert. "Spacecraft Attitude Tracking Control." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33843.

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The problem of reorienting a spacecraft to acquire a moving target is investigated. The spacecraft is modeled as a rigid body with N axisymmetric wheels controlled by axial torques, and the kinematics are represented by Modified Rodriques Parameters. The trajectory, denoted the reference trajectory, is one generated by a virtual spacecraft that is identical to the actual spacecraft. The open-loop reference attitude, angular velocity, and angular acceleration tracking commands are constructed so that the solar panel vector is perpendicular to the sun vector during the tracking maneuver. We
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Books on the topic "Target control"

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Nowak, Andrzej K., Robin R. Vallacher, Agnieszka Rychwalska, et al. Target in Control. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30622-9.

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Madhya Pradesh (India). Dept. of Pulic Health and Family Welfare., ed. Madhya Pradesh target couple survey. Govt. of Madhya Pradesh, Dept. of Public Health and Family Welfare, 1996.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Integrated target acquisition and fire control systems. AGARD, 1992.

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Jing, Zhongliang, Han Pan, Yuankai Li, and Peng Dong. Non-Cooperative Target Tracking, Fusion and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90716-1.

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Regine, Slagmulder, ed. Target costing and value engineering. Productivity Press, 1997.

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Canada, Bank of. Renewal of the inflation-control target: Background information. Bank of Canada, 2001.

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Canada, Bank of. Renewal of the inflation-control target: Background information. Bank of Canada, 2001.

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Siems, Corinna. Public Target Costing: Zielkostenmanagement als Controllinginstrument für die öffentliche Verwaltung. Lang, 2005.

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Rains, Jim. Target cost management: The ladder to global survival and success. CRC Press, 2011.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Integrated target acquisition and fire control systems: Papers presented at the Avionics Panel Symposium held in Ottawa, Canada, 7th-10th October 1991. AGARD, 1992.

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Book chapters on the topic "Target control"

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Cai, Guowei, Ben M. Chen, and Tong Heng Lee. "Vision-Based Target Following." In Advances in Industrial Control. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-635-1_11.

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Prior, C. "Susceptibility of target acridoids and non-target organisms to Metarhizium anisopliae and M. flavoviride." In New Strategies in Locust Control. Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-9202-5_53.

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Qi, Hengbo, Simei Ji, Junmin Zhao, Jiyu Nie, and Chenrui Nie. "Target Localization on Image-Guided Missile." In Aerospace Mechatronics and Control Technology. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6640-7_12.

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Aihua, Wang, and Zhang Hong. "Application of ARM in Multi-target Simulator." In Future Control and Automation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31006-5_30.

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Saavedra, Emma, and Rafael Moreno-Sánchez. "Metabolic Control Analysis, Drug-Target Identification." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1162.

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Mesterton-Gibbons, Mike. "Optimal control to a general target." In The Student Mathematical Library. American Mathematical Society, 2009. http://dx.doi.org/10.1090/stml/050/21.

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Mazer, Arthur. "Hitting Times to a Target for the Baker’s Map." In Control and Chaos. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2446-4_16.

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Yu, Yun, Anbang Zhao, Jingwei Yin, and Junying Hui. "Joint Waveguide Invariant and Moving Target Parameters Estimation." In Future Control and Automation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31003-4_11.

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Belmont-Díaz, Javier, Citlali Vázquez, Rusely Encalada, Rafael Moreno-Sánchez, Paul A. M. Michels, and Emma Saavedra. "Metabolic Control Analysis for Drug Target Selection Against Human Diseases." In Drug Target Selection and Validation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95895-4_8.

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Quincampoix, Marc. "Target problems and viability kernels." In Modeling, Estimation and Control of Systems with Uncertainty. Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-0443-5_24.

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Conference papers on the topic "Target control"

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Zhou, Enkui, Mingming Wang, Yuan Ping, et al. "Mobile SAM-based Motion Target Detection." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662323.

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Zuo, Quan, BaoFeng Guo, HongHai Shen, MingYu Yang, and KangPing Cheng. "An improved target detection algorithm for camouflaged targets." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8029190.

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Kaneko, Testuya, Yukiyo Kuriyagawa, and Ichiro Kageyama. "Calculation algorithm for motion control target for the platooning of autonomous heavy vehicles." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915224.

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Zenteno-Torres, Jazmin, Jerome Cieslak, David Henry, and Jorge Davila. "A Tracking Backstepping Sliding-Mode Control for Spacecraft Rendezvous with a Passive Target." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516895.

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Sharma, R., M. Kothari, C. N. Taylor, and I. Postlethwaite. "Cooperative target-capturing with inaccurate target information." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5530992.

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Chen, Ziyan, Zixuan Liang, Xiwang Dong, Qingdong Li, and Zhang Ren. "Adaptive Weapon-Target Assignment for Multi-target Interception." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8865884.

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Kalata, P. R., G. C. Konstanzer, and D. Birnbaum. "Adaptive Target Tracking." In 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789106.

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Sims, Richard, Ching-Fang Lin, Chun Yang, and Tzuu-Hseng S. Li. "Integrated Autonomous Target Acquisition." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792103.

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Xiaoping, Shi, and Wang Yuzhe. "Enhancement of target tracking using target orientation information." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561844.

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He, Shaoming, Hyo-Sang Shin, and Antonios Tsourdos. "Target Identity Probability Analysis for Multi-Target Tracking." In 2023 35th Chinese Control and Decision Conference (CCDC). IEEE, 2023. http://dx.doi.org/10.1109/ccdc58219.2023.10327038.

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Reports on the topic "Target control"

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Gibson, J. S. Adaptive Filtering and Estimation for Control and Target Tracking. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada386878.

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Grun, J., R. Stellingwerf, and B. H. Ripin. Control of Ion-Velocity Distributions in Laser-Target Interaction Experiments. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada172649.

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Moran, Shane C. An Adaptive H infinity Control Algorithm for Jitter Control and Target Tracking in a Directed Energy Weapon. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575864.

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Ranes, Bethany, Ben Lawson, Melody King, and Justin Dailey. Effects of Rifle Handling, Target Acquisition, and Trigger Control on Simulated Shooting Performance. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada601359.

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Landau, Sergei Yan, John W. Walker, Avi Perevolotsky, Eugene D. Ungar, Butch Taylor, and Daniel Waldron. Goats for maximal efficacy of brush control. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7587731.bard.

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Background. Brush encroachment constitutes a serious problem in both Texas and Israel. We addressed the issue of efficacy of livestock herbivory - in the form of goat browsing - to change the ecological balance to the detriment of the shrub vegetation. Shrub consumption by goats is kept low by plant chemical defenses such as tannins and terpenes. Scientists at TAES and ARO have developed an innovative, cost-effective methodology using fecal Near Infrared Spectrometry to elucidate the dietary percentage of targeted, browse species (terpene-richredberry and blueberry juniper in the US, and tanni
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Lin, Zongli, and Scott T. Acton. Research Area 5: Video Data Mining and Target Tracking: A Model Adaptation and Feedback Control Approach. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605921.

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King, Wayne. Process Control for Defect Mitigation in Laser Powder Bed Fusion Additive Manufacturing. SAE International, 2023. http://dx.doi.org/10.4271/epr2023011.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Success in metal additive manufacturing (AM) relies on the optimization of a large set of process parameters to achieve materials whose properties and performance meet design and safety requirements. Despite continuous improvements in the process over the years, the quality of AM parts remains a major concern for manufacturers. Today, researchers are starting to move from discrete geometry-dependent build parameters to continuously variable or dynamically changing parameters that are geometry- and scan-path aware. This a
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Hackett, Kevin, Shlomo Rottem, David L. Williamson, and Meir Klein. Spiroplasmas as Biological Control Agents of Insect Pests. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613017.bard.

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Toward development of spiroplasmas as novel toxin-delivery systems for biocontrol of beetle pests in the United States (Leptinotarsa decemlineata) and Israel (Maladera matrida), media for cultivating beetle-associated spiroplasmas were improved and surveys of these spiroplasmas were conducted to provide transformable strains. Extensive surveys of spiroplasmas yielded promising extrachromosomal elements for vector constructs. One, plasmid pCT-1, was cloned, characterized, and used as a source of spiroplasma origin of replication in our shuttle vectors. The fibrillin gene was isolated and sequen
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Mudge, Christopher, Bradley Sartain, Benjamin Sperry, and Kurt Getsinger. Efficacy of florpyrauxifen-benzyl for eurasian watermilfoil control and nontarget Illinois pondweed, elodea, and coontail response. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42063.

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This research evaluated low concentrations and short exposure times of the recently registered aquatic herbicide florpyrauxifen-benzyl (4-amino-3-chloro-6-(4-chloro-2-fluoro-3-methoxyphenyl)-5-fluoro-pyridine-2-benzyl ester) on the target plant Eurasian watermilfoil (Myriophyllum spicatum L., hereafter referred to as EWM) as well as selectivity towards the nontarget submersed species Illinois pondweed (Potamogeton illinoensis Morong), elodea (Elodea canadensis Michx.), and coontail (Ceratophyllum demersum L.)
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Callaghan, Timothy H., Gogoal Falia, Earl Greer, Maya Ramy, and David J. Washburn. Analysis of an Innovative Approach to Target Rural Communities in Public Health Funding. Southwest Rural Health Research Center, Texas A&M School of Public Health, 2023. http://dx.doi.org/10.21423/1969.1/201257.

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In 2021, the Centers for Disease Control (CDC) carved out $427 million in state funding to focus on combatting COVID-19 in rural communities as part of a multi-billion dollar national initiative to address COVID-19-related health disparities among at-risk and underserved populations. This brief explores the circumstances around this emphasis on rural America by interviewing relevant decision-makers and key stakeholders. The analysis indicated the funds were well supported by stakeholders and were being used in creative ways. It also allowed more rural stakeholders to be involved in public heal
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