Relevant bibliographies by topics / System observability

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

Academic literature on the topic 'System observability'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "System observability"

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Gu, Xiao Jie, Xin Min Wang, and Wen Chao Li. "Observability Analysis for TDOA Passive Localization System." Applied Mechanics and Materials 130-134 (October 2011): 2670–75. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2670.

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Observability in passive location and tracking system is an important problem. This paper investigates the observability of multi-station time difference measurements system. For a 2D plane N orders movement target, three algorithms, linear system theory, nonlinear system theory and algebraic equations are used to demonstrate the observability of multi-station time difference of arrivals (TDOA) passive location and tracking system. The minimum of observation station and observation number are obtained when the targets are observability.
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Manurung, Midian. "KETEROBSERVASIAN SISTEM LINIER DISKRIT." Jurnal Matematika UNAND 4, no. 1 (2015): 108. http://dx.doi.org/10.25077/jmu.4.1.108-114.2015.

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Given the following discrete time-invariant linear control systems:where x 2 Rnx(t + 1) = Ax(t) + Bu(t);y(t) = Cx(t);is the state vector, u 2 Rmis an input vector, y 2 Rris dened as anoutput, A 2 Rnn, B 2 Rnm, and t 2 Zis dened as time. Linear system is said to beobservable on the nite time interval [t0; t+f] if any initial state xis uniquely determinedby the output y(t) over the same time interval. In order to examine the observabilityof the system, we will use a criteria, that is by determining the observability Gramianmatrix of the system is nonsingular and rank of the observability matrix
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Gerbet, Daniel, and Klaus Röbenack. "On the Nonlinear Observability of Polynomial Dynamical Systems." SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL 1, no. 1 (2021): 88–94. http://dx.doi.org/10.52846/stccj.2021.1.1.15.

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Controllability and observability are important system properties in control theory. These properties cannot be easily checked for general nonlinear systems. This paper addresses the local and global observability as well as the decomposition with respect to observability of polynomial dynamical systems embedded in a higher-dimensional state-space. These criteria are applied on some example system.
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Caro, Eduardo, Ignacio Arévalo, Carolina García-Martos, and Antonio J. Conejo. "Power system observability via optimization." Electric Power Systems Research 104 (November 2013): 207–15. http://dx.doi.org/10.1016/j.epsr.2013.06.019.

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Liu, Jin, Jian-cheng Fang, Gang Liu, and Jin Wu. "Fractional differentiation-based observability analysis method for nonlinear X-ray pulsar navigation system." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 8 (2017): 1467–78. http://dx.doi.org/10.1177/0954410017692368.

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In the traditional observability analysis methods, only current and a few historical measurement values are considered. For the linear systems, the satisfactory analysis results can be obtained. However, for the nonlinear systems, the analysis results are not completely in accordance with the navigation errors since the high-order nonlinearity of the navigation system is not embodied on the observability matrix. In order to solve this problem, a fractional differentiation-based observability analysis method is developed. Considering the fact that the fractional differentiation with respect to
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Ma, Yanhai, Jiancheng Fang, Wei Wang, and Jianli Li. "Decoupled Observability Analyses of Error States in INS/GPS Integration." Journal of Navigation 67, no. 3 (2014): 473–94. http://dx.doi.org/10.1017/s0373463313000829.

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The observability of error states in Inertial Navigation System/Global Positioning System (INS/GPS) integration is of great importance. Rank tests or null space tests of the observability matrix have been adopted by previous works, however, for a time-varying system with a high-dimension error state vector, it is very difficult to analyse the observability matrix by these traditional methods. In this paper, the decoupled observability analysis method is proposed for an 18-dimensional INS/GPS integration system. By reducing the dimension of coupling error states, several six-dimensional decoupl
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Fang, Qiang, and Xin Sheng Huang. "Global Observability Analysis IMU/Camera Integration." Applied Mechanics and Materials 380-384 (August 2013): 1069–72. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1069.

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Vision-aided inertial navigation systems can provide precise state estimates for the 3-D motion of a vehicle. This is achieved by combining inertial measurements from an inertial measurement unit (IMU) with visual observations from a camera. Observability is a key aspect of the state estimation problem of INS/Camera. In most previous research, conservative observability concepts based on Lie derivatives have extensively been used to characterize the estimability properties. In this paper, we present a novel approache to investigate the observability of INS/Camera: global observability. The glo
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Rao, B. V. Appa, Rachel Kezia, and K. A. S. N. V. Prasad. "Controllability And Observability Of Kronecker Product Sylvester System On Time Scales." MATHEMATICAL JOURNAL OF INTERDISCIPLINARY SCIENCES 1, no. 1 (2012): 47–56. http://dx.doi.org/10.15415/mjis.2012.11004.

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Guangqian, Xing, and Peter M. Bainum. "Actuator Placement Using Degree of Controllability for Discrete-Time Systems." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (1992): 508–16. http://dx.doi.org/10.1115/1.2897376.

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In this paper some definitions of degree of controllability (observability), which is based on the scalar measure of the controllability (observability) Grammian matrix, are presented for discrete-time systems. The emphasis here is in showing the physical and geometrical meanings of the degree of controllability (observability) and the general properties of degree of controllability (observability). The concepts of degree of controllability are applied to the actuator placement problem for the shallow spherical sheel control system. The LQG transient responses for several typical systems with
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Hou, M., Th Schmidt, R. Schu¨pphaus, and P. C. Mu¨ller. "Normal Form and Luenberger Observer for Linear Mechanical Descriptor Systems." Journal of Dynamic Systems, Measurement, and Control 115, no. 4 (1993): 611–20. http://dx.doi.org/10.1115/1.2899188.

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Normal forms are presented for linear mechanical systems with holonomic and/or nonholonomic constraints. These forms provide deep insight into the peculiar system structure of constrained linear mechanical systems or the so-called linear mechanical descriptor systems. Based on these normal forms, an explicit observer design method is proposed under a weaker observability assumption, i.e., finite observability or reachable observability on the linear mechanical descriptor systems. The observer has the Luenberger observer form and provides the estimation of displacements, velocities, and constra
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Dissertations / Theses on the topic "System observability"

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Lei, Jun. "Static structural system identification using observability method." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/650829.

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During the construction and operation stages of structures, various factors lead to irreversible degradation that could affect the normal use and the public safety of these structures. In recent years, it has been common to carry out condition assessment of structures using Structural System Identification (SSI) methods. SSI is the application of parameter estimation in structural system. One key issue in SSI is to guarantee the observability of the parameters to be estimated. This was already addressed by the SSI by Observability Method (OM) using static tests. However, a systematic analysi
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Peng, Tian. "Structural system identification by dynamic observability technique." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672173.

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Structure system identification (SSI) can be classified as static and dynamic depending on the type of excitation. SSI by Observability Method (OM) using static tests was proposed and analyzed to address the observability of the estimated parameters. This mathematical approach has been used in other fields such as hydraulics, electrical, and power networks or transportation. Usually, the structural behavior of engineering structures can be identified according to dynamic characteristics such as mode shapes, natural frequencies, and damping ratios. However, the analysis of SSI by dynamic Observ
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Bianco-Martinez, Ezequiel Julian. "Information, causality, and observability approaches to understand complex systems." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=230030.

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The objective of this thesis is to propose fundamental concepts, analytical and numerical tools, and approaches to characterize, understand, and better observe complex systems. The scientific contribution of this thesis can be separated in tree topics. In the first one, we show how to theoretically estimate the Mutual Information Rate (MIR), the amount of mutual information transmitted per unit of time between two time-series. We then show how a quantity derived from it can be successfully used to infer the network structure of a complex system. The proposed inference methodology shows to be rob
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Terdpravat, Attapong. "An Ab Initio Fuzzy Dynamical System Theory: Controllability and Observability." Thesis, Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11112004-175731/unrestricted/Terdpravat%5Fattapong%5F200412%5Fmast.pdf.

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Thesis (M.S.)--Mechanical Engineering, Georgia Institute of Technology, 2005.<br>Esogbue, Augustine, Committee Member ; Lee, Kok-Meng, Committee Member ; Ye-Hwa Chen, Committee Chair. Includes bibliographical references.
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Simonsson, Jesper. "Observability and Chaos Engineering for System Calls in Containerized Applications." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263093.

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Chaos engineering is about testing the resilience of systems in production to see if they perform as expected during changing conditions. Container usage is becoming more common and as such applying principles of chaos engineering to their usage is important. In this thesis we investigate something that every containerized application uses, system calls and their possible perturbations consisting of the tuple (s, e, d), a system call, error code and delay. The perturbations consist of 9 different system calls, 7 error codes and 3 possible delays. Targets for these perturbations are mainly cont
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Emadi, Seyyedbehrad. "Application of observability techniques to structural system identification including shear effects." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/670565.

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According to Timoshenko’s beam theory, nodal rotations in beam-like structures are produced by bending and shear effects. On the one hand, bending rotations can be easily calculated by the Euler-Bernoulli stiffness matrix method. On the other hand, shear rotations are traditionally neglected as their effects are practically negligible in most structures. In addition, calculating the shear rotation effects by the stiffness matrix method is not straight forward tasks and it presents practical limitations. Nevertheless, this assumption might lead to significant errors in the simulation of the str
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El, Shobaki Mohammed. "On-chip monitoring for non-intrusive hardware/software observability." Licentiate thesis, Uppsala : Dept. of Information Technology, Univ, 2004. http://www.it.uu.se/research/reports/lic/2004-004/.

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Widerberg, Anton, and Erik Johansson. "Observability of Cloud Native Systems: : An industrial case study of system comprehension with Prometheus & knowledge transfer." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22019.

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Background:                                                                                                            Acquiring comprehension and observability of software systems is a vital and necessary activity for testing and maintenance; however, these tasks are time-consuming for engineers. Concurrently cloud computing requires microservices to enhance the utilization of cloudnative deployment, which simultaneously introduces a high degree of complexity. Further,codifying and distributing technical knowledge within the organization has been proven to be vital for both competitiveness an
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Waldherr, Steffen. "Observability analysis and observer design for controlled population dynamics Beobachtbarkeitsanalyse und Beobachterentwurf für Populationsmodelle mit Eingang /." [S.l. : s.n.], 2005. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB12168118.

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Lee, Jong Chul. "System-Level Observation Framework for Non-Intrusive Runtime Monitoring of Embedded Systems." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/338687.

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As system complexity continues to increase, the integration of software and hardware subsystems within system-on-a-chip (SOC) presents significant challenges in post-silicon validation, testing, and in-situ debugging across hardware and software layers. The deep integration of software and hardware components within SOCs often prevents the use of traditional analysis methods to observe and monitor the internal state of these components. This situation is further exacerbated for in-situ debugging and testing in which physical access to traditional debug and trace interfaces is unavailable, infe
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Books on the topic "System observability"

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service), SpringerLink (Online, ed. Controllability and Observability. Springer-Verlag Berlin Heidelberg, 2011.

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Kuhar, Urban, Gregor Kosec, and Aleš Švigelj. Observability of Power-Distribution Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39476-9.

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Li, Daqian. Controllability and observability for quasilinear hyperbolic systems. American Institute for Mathematic Sciences, 2010.

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Seslavin, Andrey. Theory of automatic control. Linear, continuous systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014654.

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The textbook presents the basics of the classical theory of automatic control, based on mathematical models of real systems, given in the form of systems of linear differential equations with constant coefficients. Methods based on Laplace and Fourier transforms, stability, controllability, and observability theory, as well as directed graph theory and linear algebra are used. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the areas of training and specialties 15.00.00 "
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Hyperbolic partial differential equations and geometric optics. American Mathematical Society, 2012.

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Habib, Ammari, Capdeboscq Yves 1971-, and Kang Hyeonbae, eds. Multi-scale and high-contrast PDE: From modelling, to mathematical analysis, to inversion : Conference on Multi-scale and High-contrast PDE:from Modelling, to Mathematical Analysis, to Inversion, June 28-July 1, 2011, University of Oxford, United Kingdom. American Mathematical Society, 2010.

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Marques, Antonio Jose Gameiro. On the relative observability of a linear system. 1986.

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Kusters, Ferdinand. Switch Observability for Differential-Algebraic Systems. Fraunhofer IRB Verlag, 2018.

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Hwang, Chun Sik. Observability and information structure of nonlinear systems. 1985.

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Lin, Feng. On controllability and observability of discrete event systems. 1988.

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Book chapters on the topic "System observability"

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Soroudi, Alireza. "Power System Observability." In Power System Optimization Modeling in GAMS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62350-4_8.

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Martin, Clyde, and Ilias Iakovidis. "The Numerical Stability of Observability." In Realization and Modelling in System Theory. Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-3462-3_17.

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Briones, Laura Brandán, Alexander Lazovik, and Philippe Dague. "Optimizing the System Observability Level for Diagnosability." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88479-8_58.

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Albertini, Francesca, and Domenico D’Alessandro. "Remarks on the observability of nonlinear discrete time systems." In System Modelling and Optimization. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_16.

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Willems, J. C. "Dynamical Systems, Controllability, and Observability: A Post-Modern Point of View." In Mathematical System Theory. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-08546-2_3.

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Cheng, Xuehan, and Yunxia Gao. "A New Methodology of Judging the Observability of the System." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1839-5_15.

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Westphal, Louis C. "Observability." In Handbook of Control Systems Engineering. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1533-3_24.

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Westphal, L. C. "Observability." In Sourcebook of Control Systems Engineering. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1805-1_24.

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Bornard, G., F. Celle-Couenne, and G. Gilles. "Observability and observers." In Nonlinear Systems. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2047-4_6.

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Monticelli, A. "Observability Analysis." In State Estimation in Electric Power Systems. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4999-4_7.

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Conference papers on the topic "System observability"

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Powalko, M., K. Rudion, P. Komarnicki, and J. Blumschein. "Observability of the distribution system." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1049.

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Ghosh, Pronob K., and Anik Tahabilder. "Optimal PMU placement for complete system observability and fault observability using graph theory." In 2017 International Electrical Engineering Congress (iEECON). IEEE, 2017. http://dx.doi.org/10.1109/ieecon.2017.8075792.

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Lozano Galant, Jose Antonio, Maria Nogal, Jun Lei, Dong Xu, and José Turmo. "A numerical approach for structural system identification by observability techniques." In IABSE Congress, Stockholm 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment. International Association for Bridge and Structural Engineering (IABSE), 2016. http://dx.doi.org/10.2749/stockholm.2016.0025.

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Observability techniques enable the structural system identification of static structures from a symbolic approach. The main advantage of this method is its deep mathematical foundation that enables the definition of parametric equations for the estimates. Nevertheless, this symbolic approach is not enough for the application of this method on actual structures. To fill this gap, this article presents the introduction into the symbolic structural system identification by observability techniques of a new numerical approach. This application includes the development of an algorithm that reduces
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Jamuna, K., and K. S. Swarup. "Power system observability using biogeography based optimization." In International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0394.

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Kircheis, Jan, Xinya Song, Teng Jiang, Steffen Schlegel, and Dirk Westermann. "Improving Distribution System Observability Using Neural Networks." In 2020 55th International Universities Power Engineering Conference (UPEC). IEEE, 2020. http://dx.doi.org/10.1109/upec49904.2020.9209778.

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Shankar, Shiv, Vishal Rathore, K. B. Yadav, and Alok Priyadarshi. "Observability of System Using Optimal PMUs Location." In 2021 7th International Conference on Electrical Energy Systems (ICEES). IEEE, 2021. http://dx.doi.org/10.1109/icees51510.2021.9383700.

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Jakubik, Jozef. "Handling Fluctuating Observability of the Rössler System." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446819.

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Bhela, Siddharth, Vassilis Kekatos, and Sriharsha Veeramachaneni. "Power distribution system observability with smart meter data." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8309125.

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Yufei, Liu, and Cui Pingyuan. "Observability Analysis of Deep-space Autonomous Navigation System." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280969.

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Lisherness, Peter, and Kwang-Ting Cheng. "An instrumented observability coverage method for system validation." In 2009 IEEE International High Level Design Validation and Test Workshop (HLDVT). IEEE, 2009. http://dx.doi.org/10.1109/hldvt.2009.5340171.

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Reports on the topic "System observability"

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Ozveren, Cuneyt M., and Alan S. Willsky. Observability of Discrete Event Dynamic Systems. Revision. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada458896.

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Nikoukhah, Ramine, Alan S. Willsky, and Bernard C. Levy. Boundary-Value Descriptor Systems: Well-Posedness. Reachability, and Observability,. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada187473.

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