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Relevant bibliographies by topics / Distributed Sensing and Control

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Academic literature on the topic 'Distributed Sensing and Control'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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Journal articles on the topic "Distributed Sensing and Control"

1

Henderson, Tom, Chuck Hansen, and Bir Bhanu. "The specification of distributed sensing and control." Journal of Robotic Systems 2, no. 4 (1985): 387–96. http://dx.doi.org/10.1002/rob.4620020405.

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Yuksel, S., and S. Tatikonda. "A Counterexample in Distributed Optimal Sensing and Control." IEEE Transactions on Automatic Control 54, no. 4 (2009): 841–44. http://dx.doi.org/10.1109/tac.2008.2009680.

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Tang, Yujie, Vikram Ramanathan, Junshan Zhang, and Na Li. "Communication-Efficient Distributed SGD With Compressed Sensing." IEEE Control Systems Letters 6 (2022): 2054–59. http://dx.doi.org/10.1109/lcsys.2021.3137859.

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ZHANG, WEIJIAN. "Gain of optical distributed sensing in distributed parameter systems." International Journal of Systems Science 22, no. 12 (1991): 2521–40. http://dx.doi.org/10.1080/00207729108910811.

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Martin, Jeffrey W., Tammy D. Henson, Joseph C. Wehlburg, James M. Redmond, Patrick S. Barney, and John A. Main. "Distributed Sensing and Shape Control of Piezoelectric Bimorph Mirrors." Journal of Intelligent Materials Systems and Structures 11, no. 10 (2000): 744–57. http://dx.doi.org/10.1177/104538900772663784.

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Ningxu Cai, M. Gholami, Litao Yang, and R. W. Brennan. "Application-Oriented Intelligent Middleware for Distributed Sensing and Control." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42, no. 6 (2012): 947–56. http://dx.doi.org/10.1109/tsmcc.2011.2174982.

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Panagou, Dimitra, Dusan M. Stipanovic, and Petros G. Voulgaris. "Distributed Dynamic Coverage and Avoidance Control Under Anisotropic Sensing." IEEE Transactions on Control of Network Systems 4, no. 4 (2017): 850–62. http://dx.doi.org/10.1109/tcns.2016.2576403.

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Martin, Jeffrey W., James M. Redmond, Patrick S. Barney, Tammy D. Henson, Joseph C. Wehlburg, and John A. Main. "Distributed Sensing and Shape Control of Piezoelectric Bimorph Mirrors." Journal of Intelligent Material Systems and Structures 11, no. 10 (2000): 744–57. http://dx.doi.org/10.1106/2ulx-mnqh-y1af-8b5v.

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Choi, Jinho. "Data-Aided Sensing for Distributed Detection." IEEE Wireless Communications Letters 10, no. 5 (2021): 1138–41. http://dx.doi.org/10.1109/lwc.2021.3064690.

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Tzou, H. S. "Integrated distributed sensing and active vibration suppression of flexible manipulators using distributed piezoelectrics." Journal of Robotic Systems 6, no. 6 (1989): 745–67. http://dx.doi.org/10.1002/rob.4620060606.

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Dissertations / Theses on the topic "Distributed Sensing and Control"

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Fariborzi, Fariborz. "Distributed sensing and control of a simply supported plate." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0012/NQ32829.pdf.

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Dai, Hanping. "Distributed control system architecture and smart sensing for intelligent semi-autonomous vehicles." Thesis, De Montfort University, 2002. http://hdl.handle.net/2086/4784.

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Grocholsky, Ben. "Information-Theoretic Control of Multiple Sensor Platforms." Thesis, The University of Sydney, 2002. http://hdl.handle.net/2123/796.

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This thesis is concerned with the development of a consistent, information-theoretic basis for understanding of coordination and cooperation decentralised multi-sensor multi-platform systems. Autonomous systems composed of multiple sensors and multiple platforms potentially have significant importance in applications such as defence, search and rescue mining or intelligent manufacturing. However, the effective use of multiple autonomous systems requires that an understanding be developed of the mechanisms of coordination and cooperation between component systems in pursuit of a common goal. A fundamental, quantitative, understanding of coordination and cooperation between decentralised autonomous systems is the main goal of this thesis. This thesis focuses on the problem of coordination and cooperation for teams of autonomous systems engaged in information gathering and data fusion tasks. While this is a subset of the general cooperative autonomous systems problem, it still encompasses a range of possible applications in picture compilation, navigation, searching and map building problems. The great advantage of restricting the domain of interest in this way is that an underlying mathematical model for coordination and cooperation can be based on the use of information-theoretic models of platform and sensor abilities. The information theoretic approach builds on the established principles and architecture previously developed for decentralised data fusion systems. In the decentralised control problem addressed in this thesis, each platform and sensor system is considered to be a distinct decision maker with an individual information-theoretic utility measure capturing both local objectives and the inter-dependencies among the decisions made by other members of the team. Together these information-theoretic utilities constitute the team objective. The key contributions of this thesis lie in the quantification and study of cooperative control between sensors and platforms using information as a common utility measure. In particular, * The problem of information gathering is formulated as an optimal control problem by identifying formal measures of information with utility or pay-off. * An information-theoretic utility model of coupling and coordination between decentralised decision makers is elucidated. This is used to describe how the information gathering strategies of a team of autonomous systems are coupled. * Static and dynamic information structures for team members are defined. It is shown that the use of static information structures can lead to efficient, although sub-optimal, decentralised control strategies for the team. * Significant examples in decentralised control of a team of sensors are developed. These include the multi-vehicle multi-target bearings-only tracking problem, and the area coverage or exploration problem for multiple vehicles. These examples demonstrate the range of non-trivial problems to which the theory in this thesis can be employed.

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Grocholsky, Ben. "Information-Theoretic Control of Multiple Sensor Platforms." University of Sydney. School of Aerospace, Mechanical and Mechatronic Engineering, 2002. http://hdl.handle.net/2123/796.

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This thesis is concerned with the development of a consistent, information-theoretic basis for understanding of coordination and cooperation decentralised multi-sensor multi-platform systems. Autonomous systems composed of multiple sensors and multiple platforms potentially have significant importance in applications such as defence, search and rescue mining or intelligent manufacturing. However, the effective use of multiple autonomous systems requires that an understanding be developed of the mechanisms of coordination and cooperation between component systems in pursuit of a common goal. A fundamental, quantitative, understanding of coordination and cooperation between decentralised autonomous systems is the main goal of this thesis. This thesis focuses on the problem of coordination and cooperation for teams of autonomous systems engaged in information gathering and data fusion tasks. While this is a subset of the general cooperative autonomous systems problem, it still encompasses a range of possible applications in picture compilation, navigation, searching and map building problems. The great advantage of restricting the domain of interest in this way is that an underlying mathematical model for coordination and cooperation can be based on the use of information-theoretic models of platform and sensor abilities. The information theoretic approach builds on the established principles and architecture previously developed for decentralised data fusion systems. In the decentralised control problem addressed in this thesis, each platform and sensor system is considered to be a distinct decision maker with an individual information-theoretic utility measure capturing both local objectives and the inter-dependencies among the decisions made by other members of the team. Together these information-theoretic utilities constitute the team objective. The key contributions of this thesis lie in the quantification and study of cooperative control between sensors and platforms using information as a common utility measure. In particular, * The problem of information gathering is formulated as an optimal control problem by identifying formal measures of information with utility or pay-off. * An information-theoretic utility model of coupling and coordination between decentralised decision makers is elucidated. This is used to describe how the information gathering strategies of a team of autonomous systems are coupled. * Static and dynamic information structures for team members are defined. It is shown that the use of static information structures can lead to efficient, although sub-optimal, decentralised control strategies for the team. * Significant examples in decentralised control of a team of sensors are developed. These include the multi-vehicle multi-target bearings-only tracking problem, and the area coverage or exploration problem for multiple vehicles. These examples demonstrate the range of non-trivial problems to which the theory in this thesis can be employed.

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Van, Den Biggelaar Olivier. "Distributed spectrum sensing and interference management for cognitive radios with low capacity control channels." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209612.

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Cognitive radios have been proposed as a new technology to counteract the spectrum scarcity issue and increase the spectral efficiency. In cognitive radios, the sparse assigned frequency bands are opened to secondary users, provided that interference induced on the primary licensees is negligible. Cognitive radios are established in two steps: the radios firstly sense the available frequency bands by detecting the presence of primary users and secondly communicate using the bands that have been identified as not in use by the primary users.<p><p>In this thesis we investigate how to improve the efficiency of cognitive radio networks when multiple cognitive radios cooperate to sense the spectrum or control their interferences. A major challenge in the design of cooperating devices lays in the need for exchange of information between these devices. Therefore, in this thesis we identify three specific types of control information exchange whose efficiency can be improved. Specifically, we first study how cognitive radios can efficiently exchange sensing information with a coordinator node when the reporting channels are noisy. Then, we propose distributed learning algorithms allowing to allocate the primary network sensing times and the secondary transmission powers within the secondary network. Both distributed allocation algorithms minimize the need for information exchange compared to centralized allocation algorithms.<br>Doctorat en Sciences de l'ingénieur<br>info:eu-repo/semantics/nonPublished

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Bassil, Antoine. "Distributed fiber optics sensing for crack monitoring of concrete structures." Thesis, Nantes, 2019. http://www.theses.fr/2019NANT4057.

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Le travail de thèse présenté dans ce mémoire vise à développer et valider une technique de suivi d’ouvertures de fissures à l'aide de mesures réparties de déformation par fibres optiques. Dans un premier temps les différentes théories existantes sur le transfert de déformation du matériau hôte vers la fibre optique sont présentées avec leurs domaine de validité. Le problème de l’adhésion parfaite entre couche est ensuite étudié et un modèle analytique à trois couches tenant compte d’une adhésion imparfaite est élaboré. Ce modèle est ensuite généralisé aux systèmes multicouches. Les études expérimentales validant ce nouveau modèle sont alors présentées. Elles montrent qu’il est possible de suivre les ouvertures de fissures jusqu’à 1000 μm avec une erreur inférieure à 10% avec un câble à fibre optique collé en surface. Les câbles noyés dans le béton donnent des résultats moins justes. La justesse des mesures est aussi influencée par le type de câble, la longueur d’ancrage et le durcissement du béton. Enfin, les résultats des études de cas sur des échantillons en béton armé de laboratoire sont présentés. Elles montrent la capacité des fibres à détecter des fissures aussi précocement que les capteurs acoustiques à ultrasons et de surveiller l’ouverture de micro fissures multiples<br>This thesis work aims to develop and validate a method for monitoring crack openings using distributed fiber optics strain measurements. First, the various existing theories on strain transfer from the host material to the optical fiber are presented, with their validity domain. The problem of perfect interfacial bonding is then studied and a three-layer analytical model capable of handling imperfect bonding case is proposed. This model is then generalized to multi-layer systems. Experimental studies validating this new model are presented. They show that it is possible to monitor crack openings up to 1 mm with an error of less than 10% for a fiber optic cable glued on the surface. Cables embedded in concrete show less accurate results. The type of cable, the bonding length and the hardening of the concrete material also influence the accuracy of the estimated crack openings. Finally, the results of case studies on laboratory-size reinforced concrete samples are presented. They show the optical fibers capacity to detect cracks as early as ultrasonic sensors and to monitor the opening of multiple micro cracks

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Lion, Stephen Todd. "Control Authorities of a Distributed Actuation and Sensing Array on a Blended-Wing-Body Uninhabited Aerial Vehicle." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-03272007-011124/.

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A distributed actuation array was installed on a blended-wing-body uninhabited aerial vehicle and tested in the 12-foot subsonic wind tunnel at NASA?s Langley Research Center. From the results of these tests, a discussion is given of the baseline aircraft, its conventional control surfaces, and the distributed array. Each effector in the distributed array was tested individually as well as pre-determined configurations incorporating all 12 effectors on each wing. From the tests on the individual effectors, a method was created that allows for the prediction of the control authorities for any configuration of the array. The six pre-determined shapes served as bases for comparison to determine the accuracy of the prediction scheme. Additionally, the shapes were compared to the conventional control surfaces to determine if a distributed array could completely replace those control surfaces.

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Suh, Peter M. "Robust modal filtering for control of flexible aircraft." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51780.

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The work in this dissertation comprises aeroservoelastic simulation development, two modal filter design case studies and theoretical improvement of the modal filter. The modal filter is made robust to sensor bias. Studies have shown that the states estimated by the modal filter can be integrated into active structural control. The integration of modal filters into aircraft structural control systems is explored. Modal filters require distributed sensing to achieve accurate modal coordinate estimates. Distributed sensing technology has progressed to the point, where it is being tested on aircraft such as Ikhana and the upcoming X-56A. Previously, the modal filter was criticized for requiring too many sensors. It was never assessed for its potential benefits in aircraft control. Therefore it is of practical interest to reinvestigate the modal filter. The first case study shows that under conditions of sensor normality, the modal filter is a Gaussian efficient estimator in an aeroservoelastic environment. This is a fundamental experiment considering the fact that the modal filter has never been tested in the airflow. To perform this case study a linear aeroservoelastic code capable of modeling distributed sensing is developed and experimentally validated. From this code, a computational wing model is fitted with distributed sensing. A modal filtering design methodology is developed and applied. With distributed sensing and modal filtering feedback control is achieved. This is also compared and contrasted with a controller using state-of-the-art accelerometers. In addition, new methods of active shape control are introduced for warping an aeroelastic structure utilizing the modal filter and control surfaces. The next case study takes place in a realistic setting for an aircraft. Flexible aircraft bring challenges to the active control community. Increased gust loads, possibility of flutter, and off-design drag may detrimentally affect performance and safety. Aeroservoelastic tailoring, gust load alleviation (GLA) and active flutter suppression (AFS) may be required on future flexible air vehicles. It is found that modal filters can theoretically support these systems. The aircraft case study identifies additional steps required in the modal filtering design methodology. Distributed sensing, the modal filter and modal reference shape control are demonstrated on the X-56A flutter-unstable simulation model. It is shown that control of deformations at potentially millions of points on an aircraft vehicle can be achieved through control of a few modal coordinates. Finally modal filter robustness is theoretically improved and computationally verified. State-of-the-art modal filters have high bias sensitivity. In fact, this is so critical that state-of-the-art modal filters may never be certified for aircraft implementation. This is especially true within a flight critical control system. The solution to this problem is found through derivation of the robust modal filter. The filter combines good properties of concentration algorithms with robust re-descending M-estimation. A new trim criterion specific to the strain based modal sensing system is derived making the filter robust to asymmetric or leverage point outliers. Robust starts are introduced to improve convergence of the modal estimation system to the globally optimal solution in the presence of 100s of biased fiber optic sensors.

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Mazloomzadeh, Ali. "Development of Hardware in the Loop Real-Time Control Techniques for Hybrid Power Systems Involving Distributed Demands and Sustainable Energy Sources." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1666.

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The future power grid will effectively utilize renewable energy resources and distributed generation to respond to energy demand while incorporating information technology and communication infrastructure for their optimum operation. This dissertation contributes to the development of real-time techniques, for wide-area monitoring and secure real-time control and operation of hybrid power systems. To handle the increased level of real-time data exchange, this dissertation develops a supervisory control and data acquisition (SCADA) system that is equipped with a state estimation scheme from the real-time data. This system is verified on a specially developed laboratory-based test bed facility, as a hardware and software platform, to emulate the actual scenarios of a real hybrid power system with the highest level of similarities and capabilities to practical utility systems. It includes phasor measurements at hundreds of measurement points on the system. These measurements were obtained from especially developed laboratory based Phasor Measurement Unit (PMU) that is utilized in addition to existing commercially based PMU’s. The developed PMU was used in conjunction with the interconnected system along with the commercial PMU’s. The tested studies included a new technique for detecting the partially islanded micro grids in addition to several real-time techniques for synchronization and parameter identifications of hybrid systems. Moreover, due to numerous integration of renewable energy resources through DC microgrids, this dissertation performs several practical cases for improvement of interoperability of such systems. Moreover, increased number of small and dispersed generating stations and their need to connect fast and properly into the AC grids, urged this work to explore the challenges that arise in synchronization of generators to the grid and through introduction of a Dynamic Brake system to improve the process of connecting distributed generators to the power grid. Real time operation and control requires data communication security. A research effort in this dissertation was developed based on Trusted Sensing Base (TSB) process for data communication security. The innovative TSB approach improves the security aspect of the power grid as a cyber-physical system. It is based on available GPS synchronization technology and provides protection against confidentiality attacks in critical power system infrastructures.

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Sundman, Dennis. "Greedy Algorithms for Distributed Compressed Sensing." Doctoral thesis, KTH, Kommunikationsteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144907.

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Compressed sensing (CS) is a recently invented sub-sampling technique that utilizes sparsity in full signals. Most natural signals possess this sparsity property. From a sub-sampled vector, some CS reconstruction algorithm is used to recover the full signal. One class of reconstruction algorithms is formed by the greedy pursuit, or simply greedy, algorithms, which is popular due to low complexity and good performance. Meanwhile, in sensor networks, sensor nodes monitor natural data for estimation or detection. One application of sensor networking is in cognitive radio networks, where sensor nodes want to estimate a power spectral density. The data measured by different sensors in such networks are typically correlated. Another type are multiple processor networks of computational nodes that cooperate to solve problems too difficult for the nodes to solve individually. In this thesis, we mainly consider greedy algorithms for distributed CS. To this end, we begin with a review of current knowledge in the field. Here, we also introduce signal models to model correlation and network models for simulation of network. We proceed by considering two applications; power spectrum density estimation and distributed reconstruction algorithms for multiple processor networks. Then, we delve deeper into the greedy algorithms with the objective to improve reconstruction performance; this naturally comes at the expense of increased computational complexity. The main objective of the thesis is to design greedy algorithms for distributed CS that exploit data correlation in sensor networks to improve performance. We develop several such algorithms, where a key element is to use intuitive democratic voting principles. Finally, we show the merit of such voting principles by probabilistic analysis based on a new input/output system model of greedy algorithms in CS. By comparing the new single sensor algorithms to well known greedy pursuit algorithms already present in the literature, we see that the goal of improved performance is achieved. We compare complexity using big-O analysis where the increased complexity is characterized. Using simulations we verify the performance and confirm complexity claims. The complexity of distributed algorithms is typically harder to analyze since it depends on the specific problem and network topology. However, when analysis is not possible, we provide extensive simulation results. No distributed algorithms based on the signal-models used in this thesis were so far available in the literature. Therefore, we compare our algorithms to standard single-sensor algorithms, and our results can then easily be used as benchmarks for future research. Compared to the stand-alone case, the new distributed algorithms provide significant performance gains. Throughout the thesis, we strive to present the work in a smooth flow of algorithm design, simulation results and analysis.<br>Compressed sensing (CS) är en nyutvecklad teknik som utnyttjar gleshet i stora undersamplade signaler. Många intressanta signaler besitter dessa glesa egenskaper. Utifrån en undersamplad vektor återskapar CS-algoritmer hela den sökta signalen. En klass av rekonstruktionsalgoritmer är de så kallade giriga algoritmerna, som blivit populära tack vare låg komplexitet och god prestanda. CS kan användas i vissa typer av nätverk för att detektera eller estimera stora signaler. En typ av nätverk där detta kan göras är i sensornätverk för kognitiv radio, där man använder sensorer för att estimera effektspektrum. Datan som samplas av de olika sensorerna i sådana nätverk är typiskt korrelerad. En annan typ av nätverk är multiprocessornätverk bestående av distribuerade beräkningsnoder, där noderna genom samarbete kan lösa svårare problem än de kan göra ensamma. Avhandlingen kommer främst att behandla giriga algoritmer för distribuerade CS-problem. Vi börjar med en överblick av nuvarande kunskap inom området. Här introducerar vi signalmodeller för korrelation och nätverksmodeller som används för simulering i nätverk. Vi fortsätter med att studera två tillämpningar; estimering av effektspektrum och en distribuerad återskapningsalgoritm för multiprocessornätverk. Därefter tar vi ett djupare steg i studien av giriga algoritmer, där vi utvecklar nya algoritmer med förbättrad prestanda, detta till priset av ökad beräkningskomplexitet. Huvudmålet med avhandlingen är giriga algoritmer för distribuerad CS, där algoritmerna utnyttjar datakorrelationen i sensornätverk. Vi utvecklar flera sådana algoritmer, där en huvudingrediens är att använda demokratiska röstningsalgoritmer. Vi analyserar sedan denna typ av röstningsalgoritmer genom att introducera en ingång/utgångs modell. Analysen visar att algoritmerna ger bra resultat. Genom att jämföra algoritmer för enskilda sensorer med redan befintliga algoritmer i litteraturen ser vi att målet med ökad prestanda uppnås. Vi karaktäriserar också komplexiteten. Genom simulationer verifierar vi både prestandan och komplexiteten. Att analysera komplexitet hos distribuerade algoritmer är generellt svårare eftersom den beror på specifik signalrealisation, nätverkstopologi och andra parametrar. I de fall där vi inte kan göra analys presenterar vi istället genomgående simuleringsresultat. Vi jämför våra algoritmer med de vanligaste algoritmerna för enskilda sensorsystem, och våra resultat kan därför enkelt användas som referens för framtida forskning. Jämfört med prestandan för enskilda sensorer visar de nya distribuerade algoritmerna markant förbättring.

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Books on the topic "Distributed Sensing and Control"

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Tzou, H. S. Piezoelectric shells: Distributed sensing and control of continua. Kluwer Academic, 1993.

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Tzou, H. S. Piezoelectric Shells: Distributed Sensing and Control of Continua. Springer Netherlands, 1993.

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Dai, Hanping. Distributed control system architecture and smart sensing for intelligent semi-autonomous vehicles. De Montfort University, 2002.

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Balakrishnan, A. V. Application of optical distributed sensing and computation to control of large space structures: Final technical report on NASA grant, NAG 11-1074. National Aeronautics and Space Administration, 1992.

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Elhoseny, Mohamed, Xiaohui Yuan, and Salah-ddine Krit, eds. Distributed Sensing and Intelligent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64258-7.

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Coluccia, Giulio, Chiara Ravazzi, and Enrico Magli. Compressed Sensing for Distributed Systems. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-390-3.

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Mazzeo, Pier Luigi, Paolo Spagnolo, and Thomas B. Moeslund, eds. Activity Monitoring by Multiple Distributed Sensing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13323-2.

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Benitez-Pérez, Héctor. Reconfigurable distributed control. Springer, 2004.

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Héctor, Benítez-Pérez, ed. Reconfigurable distributed control. Springer, 2005.

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Guo, Yi. Distributed Cooperative Control. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.

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Book chapters on the topic "Distributed Sensing and Control"

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Ganguli, Anurag, Jorge Cortés, and Francesco Bullo. "Distributed coverage of nonconvex environments." In Networked Sensing Information and Control. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-68845-9_12.

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Saligrama, Venkatesh, and David A. Castañón. "Reliable Distributed Estimation with Intermittent Communications." In Networked Sensing Information and Control. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-68845-9_10.

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Huang, Zhenhua, Fangxu Dong, and Arthur C. Sanderson. "Adaptive Distributed Sensing and Control Methods." In Handbook of Advanced Lighting Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-00176-0_30.

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Huang, Zhenhua, Fangxu Dong, and Arthur C. Sanderson. "Adaptive Distributed Sensing and Control Methods." In Handbook of Advanced Lighting Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-00295-8_30-1.

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Wang, Ye, Nan Ma, Manqi Zhao, Prakash Ishwar, and Venkatesh Saligrama. "Distributed Field Estimation with One–bit Sensors." In Networked Sensing Information and Control. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-68845-9_6.

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Dimakis, Alexandros G., and Kannan Ramchandran. "Network Coding for Distributed Storage in Wireless Networks." In Networked Sensing Information and Control. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-68845-9_5.

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Bullo, Francesco, and Jorge Cortés. "Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks." In Cooperative Control. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-31595-7_3.

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Sela, Lina, and Waseem Abbas. "Distributed Sensing for Monitoring Water Distribution Systems." In Encyclopedia of Systems and Control. Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100105-1.

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Sela, Lina, and Waseem Abbas. "Distributed Sensing for Monitoring Water Distribution Systems." In Encyclopedia of Systems and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100105.

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Jamil, Abu Rafe Md, Kishan Kumar Ganguly, and Naushin Nower. "An Experimental Analysis of Reward Functions for Adaptive Traffic Signal Control System." In Distributed Sensing and Intelligent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64258-7_44.

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Conference papers on the topic "Distributed Sensing and Control"

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Montgomery, Raymond C., and Dave Ghosh. "Control with Distributed Sensing and Processing." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791616.

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Taou, H. S., Y. Bao, V. B. Venkayya, and H. Bahrami. "Shell Transformations and Distributed Sensing/Control Characteristics." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-3935.

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Abstract Adaptive and controllable shapes and geometries of shells are desirable in many engineering applications, such as antenna dishes, rotor blades, airplane wings, nozzles, etc. In this paper, detailed sensing and control behavior of an adaptive shell panel are investigated. The shell panel changes its geometry from an open shallow shell (30°) to a deep cylindrical shell (150°). Natural frequencies, distributed sensing and damping control characteristics associated with the curvature changes are investigated. Mathematical modeling is presented first, followed by solution procedures. Membrane and bending contributions in sensing and control are evaluated. It is observed that natural frequencies of lower natural modes increase and those of higher modes decrease in the process of curvature transformation from 30° to 150°. Analytical solutions suggest that the membrane sensitivity becomes increasingly important when the curvature increases. The damping controllability of lower modes decreases as the shell curvature increases, however, that of higher modes still increases.

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Morye, A. A., C. Ding, A. K. Roy-Chowdhury, and J. A. Farrell. "Constrained optimization for opportunistic distributed visual sensing." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580825.

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Ishihara, Abraham K., Shahar Ben-Menahem, Alex Kazemi, Bernard Kress, and Mykola Kulishov. "LPFG sensing network for distributed shape control." In SPIE Optical Engineering + Applications, edited by Alex A. Kazemi, Bernard C. Kress, and Edgar A. Mendoza. SPIE, 2014. http://dx.doi.org/10.1117/12.2062377.

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Dang, Fengying, and Feitian Zhang. "DMD-Based Distributed Flow Sensing for Bio-Inspired Autonomous Underwater Robots." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9113.

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This paper presents a novel flow sensing method for autonomous underwater robots using distributed pressure measurements. The proposed flow sensing method harnesses a Bayesian filter and a dynamic mode decomposition (DMD)-based reduced-order flow model to estimate the dynamic flow environments. This data-driven estimation method does not rely on any analytical flow models and is applicable to many and various dynamic flow fields for arbitrarily shaped underwater robots. To demonstrate the effectiveness of the proposed distributed flow sensing approach, a simulation study with a Joukowski-foil-shaped underwater robot is presented.

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Lu, Shiyuan, Che Lin, Zhiyun Lin, Ronghao Zheng, and Gangfeng Yan. "Distributed Kalman filter for relative sensing networks." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7260835.

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"A MULTIROBOT SYSTEM FOR DISTRIBUTED SENSING." In 4th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001649601370142.

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Chen, Bo. "Mobile Agent Technology for Distributed Sensing and Actuation Systems." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2233.

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Distributed sensing and actuation systems research has drawn a great attention in recent years from various research communities. These systems are usually deployed in wild fields using a wireless network for the communication. Due to the shortage of power supply and bandwidth, the less communication between system components is desired since it consumes much more power comparing with local computation and uses network bandwidth. In addition, the dynamics of the deployed environments requires distributed sensing and actuation systems being self-organized, scalable, and adaptable. To achieve these desirable characteristics, this paper proposes a mobile agent approach to reduce raw data transmission over a network and increase the flexibility of a distributed sensing and actuation system. The basic ideas of the proposed mobile agent method and the framework based on a mobile agent system called Mobile-C are introduced. Mobile-C is embedded into sensor nodes consisting of an embedded computer and several expansion boards for analog/digital signal input/output and wireless communication. The advantages of using mobile agent based wireless sensor networks for intelligent structure health monitoring are discussed, and a data analysis mobile agent example is given to demonstrate the capability of such a network to dynamically deploy data analysis algorithms and reduce raw data transmission.

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Nagarkatti, Siddharth P., Christopher O. Rahn, Darren M. Dawson, Erkan Zergeroglu, and Aniket A. Malatpure. "Modal Control of Flexible Systems Using Distributed Sensing." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2003.

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Abstract In this paper, we design a modal controller for conservative flexible systems that uses distributed sensing. Spatial filtering of the distributed displacement and velocity measurements based on the system eigenfunctions prevents spillover instabilities in the closed-loop system. The proposed control is proven to stabilize a discrete set of controlled modes without destabilizing the remaining, residual modes. We then apply the theory to a single flexible link robot arm and experimentally demonstrate the feasibility of the proposed control strategy. The experiments use high speed video feedback with image processing to determine the spatial beam curve. The controller quickly damps the first modal response without causing instability in the remaining modes.

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Beipeng Mu, Girish Chowdhary, and Jonathan P. How. "Efficient distributed sensing using adaptive censoring based inference." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580477.

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Reports on the topic "Distributed Sensing and Control"

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Hurtado, John E. Distributed Sensing & Cooperative Control for Plume Tracing. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada410645.

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Baron, Dror, Marco F. Duarte, Michael B. Wakin, Shriram Sarvotham, and Richard G. Baraniuk. Distributed Compressive Sensing. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada521228.

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Morse, A. S. Intelligent Distributed Control. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada567139.

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Moura, Jose M. Distributed Sensing and Processing: A Graphical Model Approach. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada455686.

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Walmsley, Ian. Scalable Quantum Networks for Distributed Computing and Sensing. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1007637.

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Juntao Wu. Distributed Fiber Optic Gas Sensing for Harsh Environment. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/938805.

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Levchuk, Georgiy, Andres Ortiz, and John-Collonna Romano. Distributed Sensing and Processing Adaptive Collaboration Environment (D-SPACE). Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada608436.

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Quinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41325.

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Distributed Acoustic Sensing (DAS) is a fiber optic sensing system that is used for vibration monitoring. At a minimum, DAS is composed of a fiber optic cable and an optic analyzer called an interrogator. The oil and gas industry has used DAS for over a decade to monitor infrastructure such as pipelines for leaks, and in recent years changes in DAS performance over time have been observed for DAS arrays that are buried in the ground. This dissertation investigates the effect that soil type, soil temperature, soil moisture, time in-situ, and vehicle loading have on DAS performance for fiber optic cables buried in soil. This was accomplished through a field testing program involving two newly installed DAS arrays. For the first installation, a new portion of DAS array was added to an existing DAS array installed a decade prior. The new portion of the DAS array was installed in four different soil types: native fill, sand, gravel, and an excavatable flowable fill. Soil moisture and temperature sensors were buried adjacent to the fiber optic cable to monitor seasonal environmental changes over time. Periodic impact testing was performed at set locations along the DAS array for over one year. A second, temporary DAS array was installed to test the effect of vehicle loading on DAS performance. Signal to Noise Ratio (SNR) of the DAS response was used for all the tests to evaluate the system performance. The results of the impact testing program indicated that the portions of the array in gravel performed more consistently over time. Changes in soil moisture or soil temperature did not appear to affect DAS performance. The results also indicated that time DAS performance does change somewhat over time. Performance variance increased in new portions of array in all material types through time. The SNR in portions of the DAS array in native silty sand material dropped slightly, while the SNR in portions of the array in sand fill and flowable fill material decreased significantly over time. This significant change in performance occurred while testing halted from March 2020 to August 2020 due to the Covid-19 pandemic. These significant changes in performance were observed in the new portion of test bed, while the performance of the prior installation remained consistent. It may be that, after some time in-situ, SNR in a DAS array will reach a steady state. Though it is unfortunate that testing was on pause while changes in DAS performance developed, the observed changes emphasize the potential of DAS to be used for infrastructure change-detection monitoring. In the temporary test bed, increasing vehicle loads were observed to increase DAS performance, although there was considerable variability in the measured SNR. The significant variation in DAS response is likely due to various industrial activities on-site and some disturbance to the array while on-boarding and off-boarding vehicles. The results of this experiment indicated that the presence of load on less than 10% of an array channel length may improve DAS performance. Overall, this dissertation provides guidance that can help inform the civil engineering community with respect to installation design recommendations related to DAS used for infrastructure monitoring.

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Chin, Bryan A. Welding GAP Control Using Infrared Sensing. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390032.

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Hickey, Jason, John Hauser, and Richard Murray. High Confidence Reconfigurable Distributed Control. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435114.

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