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Relevant bibliographies by topics / Feedback Control Theory

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Academic literature on the topic 'Feedback Control Theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Feedback Control Theory"

1

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.

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Peresada, S., S. Kovbasa, S. Korol, and N. Zhelinskyi. "FEEDBACK LINEARIZING FIELD-ORIENTED CONTROL OF INDUCTION GENERATOR: THEORY AND EXPERIMENTS." Tekhnichna Elektrodynamika 2017, no. 2 (2017): 48–56. http://dx.doi.org/10.15407/techned2017.02.048.

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Weiss, Gerald. "Feedback control: Theory and design." Automatica 22, no. 6 (1986): 761–62. http://dx.doi.org/10.1016/0005-1098(86)90018-x.

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Ros, Javier, Alberto Casas, Jasiel Najera, and Isidro Zabalza. "64048 QUANTITATIVE FEEDBACK THEORY CONTROL OF A HEXAGLIDE TYPE PARALLEL MANIPULATOR(Control of Multibody Systems)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _64048–1_—_64048–10_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._64048-1_.

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Mondié, S., P. Zagalak, and V. Kučera. "State feedback in linear control theory." Linear Algebra and its Applications 317, no. 1-3 (2000): 177–92. http://dx.doi.org/10.1016/s0024-3795(00)00153-1.

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Stirling, Julian. "Control theory for scanning probe microscopy revisited." Beilstein Journal of Nanotechnology 5 (March 21, 2014): 337–45. http://dx.doi.org/10.3762/bjnano.5.38.

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We derive a theoretical model for studying SPM feedback in the context of control theory. Previous models presented in the literature that apply standard models for proportional-integral-derivative controllers predict a highly unstable feedback environment. This model uses features specific to the SPM implementation of the proportional-integral controller to give realistic feedback behaviour. As such the stability of SPM feedback for a wide range of feedback gains can be understood. Further consideration of mechanical responses of the SPM system gives insight into the causes of exciting mechanical resonances of the scanner during feedback operation.

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OGURA, Saori, Takumi EBINE, Koichi HASHIMOTO, and Hidenori KIMURA. "Visual Feedback Control Based on H^|^infin; Control Theory." Transactions of the Society of Instrument and Control Engineers 30, no. 12 (1994): 1505–11. http://dx.doi.org/10.9746/sicetr1965.30.1505.

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Mathis, Mackenzie W., and Steffen Schneider. "Motor control: Neural correlates of optimal feedback control theory." Current Biology 31, no. 7 (2021): R356—R358. http://dx.doi.org/10.1016/j.cub.2021.01.087.

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Clemniens, A. J., and J. B. Keats. "Bayesian Inference for Feedback Control. I: Theory." Journal of Irrigation and Drainage Engineering 118, no. 3 (1992): 397–415. http://dx.doi.org/10.1061/(asce)0733-9437(1992)118:3(397).

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Nwokah, Osita, Suhada Jayasuriya, and Yossi Chait. "Parametric robust control by quantitative feedback theory." Journal of Guidance, Control, and Dynamics 15, no. 1 (1992): 207–14. http://dx.doi.org/10.2514/3.20820.

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Dissertations / Theses on the topic "Feedback Control Theory"

1

Nandakumar, Ramnath. "Robust Control Design using Quantitative Feedback Theory." Thesis, City University London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514959.

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Sitharaman, Sai Ganesh. "Nonlinear continuous feedback controllers." Texas A&M University, 2004. http://hdl.handle.net/1969.1/363.

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Packet-switched communication networks such as today's Internet are built with several interconnected core and distribution packet forwarding routers and several sender and sink transport agents. In order to maintain stability and avoid congestion collapse in the network, the sources control their rate behavior and voluntarily adjust their sending rates to accommodate other sources in the network. In this thesis, we study one class of sender rate control that is modeled using continuous first-order differential equation of the sending rates. In order to adjust the rates appropriately, the network sends continuous packet-loss feedback to the sources. We study a form of closed-loop feedback congestion controllers whose rate adjustments exhibit a nonlinear form. There are three dimensions to our work in this thesis. First, we study the network optimization problem in which sources choose utilities to maximize their underlying throughput. Each sender maximizes its utility proportional to the throughput achieved. In our model, sources choose a utility function to define their level of satisfaction of the underlying resource usages. The objective of this direction is to establish the properties of source utility functions using inequality constrained bounded sets and study the functional forms of utilities against a chosen rate differential equation. Second, stability of the network and tolerance to perturbation are two essential factors that keep communication networks operational around the equilibrium point. Our objective in this part of the thesis is to analytically understand the existence of local asymptotic stability of delayed-feedback systems under homogeneous network delays. Third, we propose a novel tangential controller for a generic maximization function and study its properties using nonlinear optimization techniques. We develop the necessary theoretical background and the properties of our controller to prove that it is a better rate adaptation algorithm for logarithmic utilities compared to the well-studied proportional controllers. We establish the asymptotic local stability of our controller with upper bounds on the increase / decrease gain parameters.

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Vinnicombe, Glenn. "Measuring robustness of feedback systems." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281872.

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Rogers, Thomas Alexander. "Feedback and stability theory for linear multipass processes." Thesis, University of Sheffield, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385814.

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Sefton, James A. "A geometrical approach to feedback stability." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239198.

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Askarpour, Shahram. "Parametric eigenstructure assignment by output feedback control." Thesis, Brunel University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337462.

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Irving, J. P. "Robust pole assignment via state feedback and its relationship to linear optimal control and output feedback pole assignment." Thesis, University of Salford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252935.

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Majhi, Somanath. "Relay feedback process identification and controller design." Thesis, University of Sussex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297557.

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The aim of this thesis is to investigate relay feedback process identification and some controller design methods. Using an exact analysis method, namely the state space method, a set of conditions for the prediction of oscillations in relay control systems has been developed. Since the exact solution for the limit cycle is found it becomes possible to assess the stability of these oscillations using an eigenvalue criterion. A correction factor has been introduced to overcome the limitations of the Balasubramanian's eigenvalue criterion. Relay feedback identification in process control can lead to erroneous results if the system parameters are estimated from the approximate describing function approach. Exact analytical expressions are derived and on the basis of these expressions an identification procedure is suggested which is capable of estimating the parameters of a class of process transfer functions. Analytical expressions are presented for quantifying the approximate estimation errors in the presence of measurement noise and load disturbance. The performance limitations of the conventional PID controller have been clearly shown in the context of controlling resonant, unstable or integrating processes. It has been shown that a PI-PD controller with the PD in the inner loop not only avoids the derivative kick but also a better performance is achieved than with a P or D controller in the inner loop. Further, the same controller provides good disturbance rejection and its performance is often near to that of an optimum controller for disturbance rejection and is significantly better than the results of other design methods based on setpoint response. Simple tuning methods based on standard forms for a PI-PD controller controlling time delay processes have been presented which are particularly effective for integrating and unstable plants. Automatic tuning formulae for PI, PID and PI-PD controllers have been proposed for controlling stable and unstable processes. The problem of controlling integrating and unstable processes incorporating time delay has been tackled by proposing a new Smith predictor. It is shown that the predictor is capable of successfully controlling stable, integrating and unstable processes. Controller parameters leading to robust performance for various levels of uncertainty in the model parameters particularly in the unstable time constant and time delay have been presented. Also, simple and effective automatic tuning formulae are derived for the new Smith predictor structure when the plant model is not available assuming first order model with time delay for stable, unstable and integrating processes. The plant model blocks in the control structure, as well as all the controllers, are designed from a single symmetrical relay test.

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Goodall, David Peter. "Deterministic feedback stabilization of uncertain dynamical systems." Thesis, University of Bath, 1989. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328537.

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Doruk, Resat Ozgur. "Missile Autopilot Design By Projective Control Theory." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1089929/index.pdf.

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In this thesis, autopilots are developed for missiles with moderate dynamics and stationary targets. The aim is to use the designs in real applications. Since the real missile model is nonlinear, a linearization process is required to get use of systematic linear controller design techniques. In the scope of this thesis, the linear quadratic full state feedback approach is applied for developing missile autopilots. However, the limitations of measurement systems on the missiles restrict the availability of all the states required for feedback. Because of this fact, the linear quadratic design will be approximated by the use of projective control theory. This method enables the designer to use preferably static feedback or if necessary a controller plus a low order compensator combination to approximate the full state feedback reference. Autopilots are checked for the validity of linearization, robust stability against aerodynamic, mechanical and measurement uncertainties.

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Books on the topic "Feedback Control Theory"

1

A, Francis Bruce, and Tannenbaum Allen 1953-, eds. Feedback control theory. Dover, 2008.

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Doyle, John Comstock. Feedback control theory. Macmillan Pub. Co., 1992.

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Bruce, Francis, and Tannenbaum Allen 1953-, eds. Feedback control theory. Macmillan Publishing Co., 1992.

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4

Introduction to feedback control theory. CRC Press, 2000.

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5

J, Rasmussen Steven, and Garcia-Sanz Mario, eds. Quantitative feedback theory. 2nd ed. Taylor & Francis, 2006.

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6

Kachroo, Pushkin. Feedback control theory for dynamic traffic assignment. Springer, 1999.

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Albertos, Pedro. Feedback and Control for Everyone. Springer-Verlag Berlin Heidelberg, 2010.

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Kachroo, Pushkin, and Kaan M. A. Özbay. Feedback Control Theory for Dynamic Traffic Assignment. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69231-9.

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Kachroo, Pushkin, and Kaan Özbay. Feedback Control Theory for Dynamic Traffic Assignment. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0815-3.

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Kachroo, Pushkin. Feedback Control Theory for Dynamic Traffic Assignment. Springer London, 1999.

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Book chapters on the topic "Feedback Control Theory"

1

Krener, A. J. "Feedback Linearization." In Mathematical Control Theory. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1416-8_3.

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2

Frank, Steven A. "State Feedback." In Control Theory Tutorial. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91707-8_9.

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Firoozian, Riazollah. "Feedback Control Theory." In Mechanical Engineering Series. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85460-1_1.

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Firoozian, Riazollah. "Feedback Control Theory." In Mechanical Engineering Series. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07275-3_1.

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Bastin, G., G. Campion, and B. d’Andrea-Novel. "Feedback linearization." In Theory of Robot Control. Springer London, 1990. http://dx.doi.org/10.1007/978-1-4471-1501-4_8.

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de Wit, C. Canudas, and C. Samson. "Nonlinear feedback control." In Theory of Robot Control. Springer London, 1990. http://dx.doi.org/10.1007/978-1-4471-1501-4_9.

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Garcia-Sanz, Mario. "Quantitative Feedback Theory." In Encyclopedia of Systems and Control. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_238.

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Garcia-Sanz, Dr Mario. "Quantitative Feedback Theory." In Encyclopedia of Systems and Control. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_238-1.

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Garcia-Sanz, Mario. "Quantitative Feedback Theory." In Encyclopedia of Systems and Control. Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-5102-9_238-2.

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Garcia-Sanz, Mario. "Quantitative Feedback Theory." In Encyclopedia of Systems and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_238.

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Conference papers on the topic "Feedback Control Theory"

1

Horowitz, Isaac. "Quantitative Feedback Theory (QFT)." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4790059.

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Nordgres, R. E., O. D. I. N. wokah, and M. A. Francbek. "New Formulations For Quantitative Feedback Theory." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4793171.

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Perez, R. A., O. D. I. Nwokah, and D. F. Thompson. "Almost Decoupling by Quantitative Feedback Theory." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791748.

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Wenhua Chen. "Plant template generation in quantitative feedback theory." In UKACC International Conference on Control (CONTROL '98). IEE, 1998. http://dx.doi.org/10.1049/cp:19980333.

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Wang, S. H., C. W. Chen, and G. G. Wang. "Bound Equation for Multivariable Quantitative Feedback Theory." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792214.

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Nwokah, Osita, Suhada Jayasuriya, and Yossi Chait. "Parametric Robust Control by Quantitative Feedback Theory." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791743.

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Chen, C. W., G. G. Wang, and S. H. Wang. "New Interpretation of MIMO Quantitative Feedback Theory." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791983.

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Thompson, David F., and Osita D. I. Nwokah. "Optimal Loop Synthesis in Quantitative Feedback Theory." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4790808.

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Farsi, M., and S. M. Saddique. "Differential Adaptive Controller using Quantitative Feedback Theory." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791680.

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Doyle, John C. "Quantitative Feedback Theory (QFT) and Robust Control." In 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789202.

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Reports on the topic "Feedback Control Theory"

1

Bentley, A. E., I. Horowitz, Y. Chait, and J. Rodrigues. Control of resistance plug welding using quantitative feedback theory. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/431135.

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2

Houpis, C. H., M. Pachter, S. Rasmussen, D. Trosen, and R. Sating. Quantitative Feedback Theory (QFT) for the Engineer. A Paradigm for the Design of Control Systems for Uncertain Nonlinear Plants,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada297574.

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Domec, Jean-Christophe, Sari Palmroth, Ram Oren, Jennifer Swenson, John S. King, and Asko Noormets. Quantifying the effect of nighttime interactions between roots and canopy physiology and their control of water and carbon cycling on feedbacks between soil moisture and terrestrial climatology under variable environmental conditions. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1245012.

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