Academic literature on the topic 'Biological control systems'
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Journal articles on the topic "Biological control systems"
Rogerson, Clark T., and M. N. Burge. "Fungi in Biological Control Systems." Brittonia 41, no. 4 (October 1989): 398. http://dx.doi.org/10.2307/2807554.
Full textStark, Lawrence, and Laurence R. Young. "DEFINING BIOLOGICAL FEEDBACK CONTROL SYSTEMS *." Annals of the New York Academy of Sciences 117, no. 1 (December 16, 2006): 426–42. http://dx.doi.org/10.1111/j.1749-6632.1964.tb48200.x.
Full textCavalieri, Liebe F., and Huseyin Koçak. "Chaos in Biological Control Systems." Journal of Theoretical Biology 169, no. 2 (July 1994): 179–87. http://dx.doi.org/10.1006/jtbi.1994.1139.
Full textBaev, K. V. "Optimal control in biological motor control systems." IEEE Engineering in Medicine and Biology Magazine 11, no. 4 (December 1992): 82–83. http://dx.doi.org/10.1109/51.257006.
Full textvan Emden, H. F., M. A. Hoy, and D. C. Herzog. "Biological Control in Agricultural IPM Systems." Journal of Applied Ecology 23, no. 2 (August 1986): 728. http://dx.doi.org/10.2307/2404055.
Full textAmes, W. F. "Evolution and control in biological systems." Mathematics and Computers in Simulation 31, no. 6 (February 1990): 594. http://dx.doi.org/10.1016/0378-4754(90)90064-p.
Full textCABANAC, MICHEL, and MAURICIO RUSSEK. "REGULATED BIOLOGICAL SYSTEMS." Journal of Biological Systems 08, no. 02 (June 2000): 141–49. http://dx.doi.org/10.1142/s0218339000000092.
Full textBalchunas, Brian M., Lawrence H. Hentz, and William H. Salley. "ODOR CONTROL CONSIDERATIONS FOR BIOLOGICAL TREATMENT SYSTEMS." Proceedings of the Water Environment Federation 2000, no. 3 (January 1, 2000): 1042–52. http://dx.doi.org/10.2175/193864700785303376.
Full textYun, Choamun, Young Kim, Sang Yup Lee, and Sunwon Park. "Metabolic Control Analysis of Complex Biological Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 9823–27. http://dx.doi.org/10.3182/20080706-5-kr-1001.01662.
Full textIberall, A. S., and S. Z. Cardon. "CONTROL IN BIOLOGICAL SYSTEMS - A PHYSICAL REVIEW *." Annals of the New York Academy of Sciences 117, no. 1 (December 16, 2006): 445–515. http://dx.doi.org/10.1111/j.1749-6632.1964.tb48202.x.
Full textDissertations / Theses on the topic "Biological control systems"
Li, Weiwei. "Optimal control for biological movement systems." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3205051.
Full textTitle from first page of PDF file (viewed April 4, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 131-146).
Brenner, Sibylle. "Mechanistic Control of Biological Redox Systems." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518447.
Full textQian, Yili. "Systems and control theoretic approaches to engineer robust biological systems." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128991.
Full textCataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 189-203).
Synthetic biology is an emerging field of research aimed to engineer biological systems by inserting programmed DNA molecules into living cells. These DNAs encode the production and subsequent interactions of biomolecules that allow the cells to have novel sensing, computing, and actuation capabilities. However, most success stories to date rely heavily on trial and error. This is mainly because genetic systems are context-dependent: the expression level of a synthetic gene often depends not only on its own regulatory inputs, but also on the expression of other supposedly unconnected genes. This lack of modularity leads to unexpected behaviors when multiple genetic subsystems are composed together, making it difficult to engineer complex systems that function predictably and robustly in practice. This thesis characterizes resource competition as a form of context dependence, and presents control theoretic approaches to engineer robust, context-independent gene networks. We first present a systems framework to model resource competition, which results in a hidden layer of unintended interactions among genetic subsystems. These unintended interactions lead to failure of the composed network in experiment. We then introduce a set of biomolecular controllers - designed to solve an output regulation problem in vivo - that can decouple a genetic subsystem's output from its context. We describe challenges applying classical control theory to engineer such controllers due to the physical constraints in living cells, and then present novel theory-guided engineering solutions. Finally, we point to additional design considerations when regulating multiple subsystems using multiple controllers in a single cell. These works have the potential to enhance the robustness of future synthetic biological systems and to fully unleash their power to address pressing societal needs in environment, energy, and health.
by Yili Qian.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Mechanical Engineering
Panchea, Adina. "Inverse optimal control for redundant systems of biological motion." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2050/document.
Full textThis thesis addresses inverse optimal control problems (IOCP) to find the cost functions for which the human motions are optimal. Assuming that the human motion observations are perfect, while the human motor control process is imperfect, we propose an approximately optimal control algorithm. By applying our algorithm to the human motion observations collected for: the human arm trajectories during an industrial screwing task, a postural coordination in a visual tracking task and a walking gait initialization task, we performed an open loop analysis. For the three cases, our algorithm returned the cost functions which better fit these data, while approximately satisfying the Karush-Kuhn-Tucker (KKT) optimality conditions. Our algorithm offers a nice computational time for all cases, providing an opportunity for its use in online applications. For the visual tracking task, we investigated a closed loop modeling with two PD feedback loops. With artificial data, we obtained consistent results in terms of feedback gains’ trends and criteria exhibited by our algorithm for the visual tracking task. In the second part of our work, we proposed a new approach to solving the IOCP, in a bounded error framework. In this approach, we assume that the human motor control process is perfect while the observations have errors and uncertainties acting on them, being imperfect. The errors are bounded with known bounds, otherwise unknown. Our approach finds the convex hull of the set of feasible cost function with a certainty that it includes the true solution. We numerically guaranteed this using interval analysis tools
Chandra, Manik. "Analytical study of a control algorithm based on emotional processing." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/4914.
Full textGovender, Veloshinie. "Evaluation of biological control systems for control of mango post-harvest diseases." Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02102006-160747.
Full textTomazou, Marios. "Towards light based dynamic control of synthetic biological systems." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44243.
Full textSegall-Shapiro, Thomas Hale. "Regulatory systems for the robust control of engineered genetic programs." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113965.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 143-159).
The ability to engineer complex genetic programs could have a huge impact on many industries, yielding organisms that can respond to their environment and perform functions relevant to manufacturing, agriculture, and medicine. However, such engineering efforts have proven difficult, in part because these programs often require precise levels of gene expression for proper function. It is especially tough to build programs that have robust activity, as any changes to the host cells can perturb the context of the genetic system and disrupt carefully tuned expression levels. Additionally, genetic programs often place high demands on host resources, which can adversely affect cell growth and further upset the intended function. In this thesis, we describe two regulatory systems in Escherichia coli that could serve to separate synthetic genetic programs from their host context, potentially leading to more robust activity. First, we build a 'resource allocator' by fragmenting T7 RNA polymerase variants into a conserved fragment and a set of variable fragments. The resource allocator limits the total number of polymerases that can be active in a genetic program, with the aim of protecting the host from being overburdened. This transcriptional budget can be allocated to different elements of the genetic program as necessary and further regulated using additional protein fragments. Second, we demonstrate a set of stabilized promoters that can maintain a level of gene expression independent of their genetic context. These promoters utilize a noncooperative incoherent feedforward loop to buffer differences in gene expression caused by changes in copy number. We demonstrate that stabilized promoters can be moved between plasmids and different locations on the genome with little change in expression. Further, they minimize the effects of other perturbations that can affect copy number, such as genome mutations and media composition.
by Thomas Hale Segall-Shapiro.
Ph. D.
Molenaar, Robert. "Design and implementation of biosystem control and tools for biosystem simulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0017/NQ44519.pdf.
Full textStoltz, Scott. "The effects of biofeedback plus progressive relaxation on the emotional well-being of college students." Online version, 2000. http://www.uwstout.edu/lib/thesis/2000/2000stoltzs.pdf.
Full textBooks on the topic "Biological control systems"
N, Burge M., ed. Fungi in biological control systems. Manchester, UK: Manchester University Press, 1988.
Find full textDeclan, Bates, ed. Feedback control in systems biology. Boca Raton: CRC Press, 2012.
Find full textKurzhanski, A. B., and K. Sigmund, eds. Evolution and Control in Biological Systems. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2358-4.
Full textW, Collins M., Bryant J. A. 1944-, and Atherton M. A. 1942-, eds. Information transfer in biological systems. Southampton: WIT, 2002.
Find full textThomas, René. Biological feedback. Boca Raton: CRC Press, 1990.
Find full textP, Neuenschwander, Borgemeister C, Langewald J, Technical Centre for Agricultural and Rural Cooperation (Ede, Netherlands), and Switzerland. Direktion für Entwicklungszusammenarbeit und Humanitäre Hilfe, eds. Biological control in IPM systems in Africa. Oxford: CABI Pub., 2003.
Find full textIFAC, Symposium on Modelling and Control in Biomedical Systems (4th 2000 Karlsburg Germany). Modelling and control biomedical systems 2000 (including biological systems). Kidlington, Oxford, UK: Pergamon, 2000.
Find full textPalmer, Jon. Biological response modifiers. Bethesda, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute, International Cancer Research Data Bank, 1988.
Find full textRao, Vadrevu Sree Hari. Dynamic models and control of biological systems. Dordrecht: Springer, 2009.
Find full textNeuenschwander, P., C. Borgemeister, and J. Langewald, eds. Biological control in IPM systems in Africa. Wallingford: CABI, 2002. http://dx.doi.org/10.1079/9780851996394.0000.
Full textBook chapters on the topic "Biological control systems"
Van Driesche, Roy G., and Thomas S. Bellows. "Integration of Biological Control into Pest Management Systems." In Biological Control, 296–306. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1157-7_14.
Full textHaefner, James W. "Hormonal Control in Mammals." In Modeling Biological Systems, 257–68. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-4119-6_12.
Full textRuth, Matthias, and Bruce Hannon. "Adaptive Population Control." In Modeling Dynamic Biological Systems, 147–53. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_21.
Full textHannon, Bruce, and Matthias Ruth. "Adaptive Population Control." In Modeling Dynamic Biological Systems, 183–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_22.
Full textSpano, M. L., and W. L. Ditto. "Chaos Control in Biological Systems." In Handbook of Chaos Control, 427–56. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527607455.ch17.
Full textClaude, Daniel. "Control theory and biological regulations: Bipolar controls." In Modeling and Control of Systems, 383–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0041206.
Full textKodithuwakku Arachchige, Sachini N. K., and Harish Chander. "Postural Control During Perturbations." In Motion Analysis of Biological Systems, 143–59. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-52977-1_9.
Full textWaldherr, Steffen, and Frank Allgöwer. "Robustness Analysis of Biological Models." In Encyclopedia of Systems and Control, 1239–43. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_93.
Full textSontag, Eduardo D. "Scale-Invariance in Biological Sensing." In Encyclopedia of Systems and Control, 1–4. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100090-1.
Full textWaldherr, Steffen, and Frank Allgöwer. "Robustness Analysis of Biological Models." In Encyclopedia of Systems and Control, 1–7. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_93-1.
Full textConference papers on the topic "Biological control systems"
"12. Medical and biological systems control." In 2015 International Conference "Stability and Control Processes" in Memory of V.I. Zubov (SCP). IEEE, 2015. http://dx.doi.org/10.1109/scp.2015.7342193.
Full textJulius, A. Agung, Adam Halasz, Vijay Kumar, and George J. Pappas. "Controlling biological systems: the lactose regulation system of Escherichia coli." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282770.
Full textSootla, Aivar, Diego Oyarzun, David Angeli, and Guy-Bart Stan. "Shaping pulses to control bistable biological systems." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171815.
Full textHaddon, Antoine, Victor Alcaraz-Gonzalez, Maha Hmissi, Jerome Harmand, and Antoine Rousseau. "Simulation of spatially distributed intensive biological systems." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143773.
Full textTomic, Drasko, and Bozica Pernaric. "Control and optimization of complex biological systems." In 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2014. http://dx.doi.org/10.1109/mipro.2014.6859565.
Full textVenzon, Madelaine. "Conservation biological control in tropical agroecological systems." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.117716.
Full textLin, Xiao, and Gabriel Terejanu. "Model-driven data collection for biological systems." In 2014 American Control Conference - ACC 2014. IEEE, 2014. http://dx.doi.org/10.1109/acc.2014.6859268.
Full textLi, Yuanlong, and Zongli Lin. "Multistability of a class of biological systems." In 2013 9th Asian Control Conference (ASCC). IEEE, 2013. http://dx.doi.org/10.1109/ascc.2013.6606048.
Full textBoardman, Beth L., Tyson L. Hedrick, Diane H. Theriault, Nathan W. Fuller, Margrit Betke, and Kristi A. Morgansen. "Collision avoidance in biological systems using collision cones." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580285.
Full textPrescott, Thomas, and Antonis Papachristodoulou. "Multi-scale design in layered synthetic biological systems." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810558.
Full textReports on the topic "Biological control systems"
Corban, J. E., Cole Gilbert, Anthony J. Calise, and Allen R. Tannenbaum. Biological Inspired Direct Adaptive Guidance and Control for Autonomous Flight Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada433221.
Full textHouck, Marilyn, Uri Gerson, and Robert Luck. Two Predator Model Systems for the Biological Control of Diaspidid Scale Insects. United States Department of Agriculture, June 1994. http://dx.doi.org/10.32747/1994.7570554.bard.
Full textMay, Elebeoba Eni, Mark Daniel Rintoul, Anna Marie Johnston, Richard J. Pryor, William Eugene Hart, and Jean-Paul Watson. Detection and reconstruction of error control codes for engineered and biological regulatory systems. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/918239.
Full textHackett, Kevin, Shlomo Rottem, David L. Williamson, and Meir Klein. Spiroplasmas as Biological Control Agents of Insect Pests. United States Department of Agriculture, July 1995. http://dx.doi.org/10.32747/1995.7613017.bard.
Full textMesselink, G. J. Team building in biocontrol : An ecosystem approach in biological pest control in greenhouse cropping systems. Wageningen: Wageningen University & Research, 2021. http://dx.doi.org/10.18174/555184.
Full textLundgren, Jonathan, Moshe Coll, and James Harwood. Biological control of cereal aphids in wheat: Implications of alternative foods and intraguild predation. United States Department of Agriculture, October 2014. http://dx.doi.org/10.32747/2014.7699858.bard.
Full textKloepper, Joseph W., and Ilan Chet. Endophytic Bacteria of Cotton and Sweet Corn for Providing Growth Promotion and Biological Disease Control. United States Department of Agriculture, January 1996. http://dx.doi.org/10.32747/1996.7613039.bard.
Full textFriedler, Eran, and Karl G. Linden. Distributed UV LEDs for combined control of fouling of drip emitters and disinfection during irrigation with reclaimed wastewater effluent. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2022. http://dx.doi.org/10.32747/2022.8134144.bard.
Full textBrockmann, Kolja, and Nivedita Raju. NewSpace and the Commercialization of the Space Industry: Challenges for the Missile Technology Regime. Stockholm International Peace Research Institute, October 2022. http://dx.doi.org/10.55163/yrpy6524.
Full textBrosh, Arieh, Gordon Carstens, Kristen Johnson, Ariel Shabtay, Joshuah Miron, Yoav Aharoni, Luis Tedeschi, and Ilan Halachmi. Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency. United States Department of Agriculture, July 2011. http://dx.doi.org/10.32747/2011.7592644.bard.
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