Добірка наукової літератури з теми "Systems Theory and Control"

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Статті в журналах з теми "Systems Theory and Control":

1

Chen, Can, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. "Multilinear Control Systems Theory." SIAM Journal on Control and Optimization 59, no. 1 (January 2021): 749–76. http://dx.doi.org/10.1137/19m1262589.

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2

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 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.
3

Junge, Oliver, and Jan Lunze. "Control Theory of Networked Systems." at - Automatisierungstechnik 61, no. 7 (July 2013): 455–56. http://dx.doi.org/10.1524/auto.2013.9007.

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4

Li, Fuhuo. "Control Systems and Number Theory." International Journal of Mathematics and Mathematical Sciences 2012 (2012): 1–28. http://dx.doi.org/10.1155/2012/508721.

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We try to pave a smooth road to a proper understanding of control problems in terms of mathematical disciplines, and partially show how to number-theorize some practical problems. Our primary concern is linear systems from the point of view of our principle of visualization of the state, an interface between the past and the present. We view all the systems as embedded in the state equation, thus visualizing the state. Then we go on to treat the chain-scattering representation of the plant of Kimura 1997, which includes the feedback connection in a natural way, and we consider theH∞-control problem in this framework. We may view in particular the unit feedback system as accommodated in the chain-scattering representation, giving a better insight into the structure of the system. Its homographic transformation works as the action of the symplectic group on the Siegel upper half-space in the case of constant matrices. Both ofH∞- and PID-controllers are applied successfully in the EV control by J.-Y. Cao and B.-G. Cao 2006 and Cao et al. 2007, which we may unify in our framework. Finally, we mention some similarities between control theory and zeta-functions.
5

Trentelman, HL, AA Stoorvogel, M. Hautus, and L. Dewell. "Control Theory for Linear Systems." Applied Mechanics Reviews 55, no. 5 (September 1, 2002): B87. http://dx.doi.org/10.1115/1.1497472.

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6

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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7

Marden, Jason R., and Jeff S. Shamma. "Game Theory and Control." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 105–34. http://dx.doi.org/10.1146/annurev-control-060117-105102.

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Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three specific control theory topics where game theory has played a significant role: ( a) zero-sum games, in which the two competing players are a controller and an adversarial environment; ( b) team games, in which several controllers pursue a common goal but have access to different information; and ( c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.
8

Shadwick, William F. "Differential Systems and Nonlinear Control Theory." IFAC Proceedings Volumes 28, no. 14 (June 1995): 721–29. http://dx.doi.org/10.1016/s1474-6670(17)46914-x.

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9

LIN, JING-YUE, and ZI-HOU YANG. "Mathematical Control Theory of Singular Systems." IMA Journal of Mathematical Control and Information 6, no. 2 (1989): 189–98. http://dx.doi.org/10.1093/imamci/6.2.189.

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Buxey, Geoff. "Inventory control systems: theory and practice." International Journal of Information and Operations Management Education 1, no. 2 (2006): 158. http://dx.doi.org/10.1504/ijiome.2006.009173.

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Дисертації з теми "Systems Theory and Control":

1

Zimbidis, Alexandros A. "Control theory and insurance systems." Thesis, City University London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287673.

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2

Schirmer, Sonja G. "Theory of control of quantum systems /." view abstract or download file of text, 2000. http://wwwlib.umi.com/cr/uoregon/fullcit?p9963453.

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Thesis (Ph. D.)--University of Oregon, 2000.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 98-99). Also available for download via the World Wide Web; free to University of Oregon users. Address: http://wwwlib.umi.com/cr/uoregon/fullcit?p9963453.
3

Kalogeropoulos, G. E. "Matrix pencils and linear systems theory." Thesis, City University London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355580.

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4

Jackson, Billy Davis John M. "A general linear systems theory on time scales transforms, stability, and control /." Waco, Tex. : Baylor University, 2007. http://hdl.handle.net/2104/5066.

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5

Ginsberg, David W. "Variable structure control systems." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/18787.

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The primary aims of this thesis, is to provide a body of knowledge on variable structure system theory and to apply the developed design concepts to control practical systems. It introduces the concept of a structure. The main aim in designing variable structure controllers, is to synthesize a variable structure system from two or more single structure systems, in such a way that the ensuing system out-performs its component structures. When a sliding mode is defined, the ensuing closed loop behaviour of the system is invariant to plant parameter changes and external disturbances. A variable structure controller was designed for a servo motor and successfully applied to the system. In practice, the phase plane representative point does not slide at infinite frequency with infinitesimal amplitude along the switching surface(s). Thus, the concept of a quasi-sliding regime was introduced. For high performance system specifications, the phase plane representative point could cycle about the origin. In some instances, sliding could be lost. For high speed applications, a novel design modification ensured that the system did not lose sliding. In addition, the controller could track a rapidly changing set point. Successful results support the developed theory.
6

Michalska, Hannah. "Design of nonlinear control systems : theory and algorithms." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/8179.

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7

Ahmad, Farooq. "An expert system for computer-aided design of control systems." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357165.

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8

Tse, Wilfred See Foon. "Linear equivalents of nonlinear systems." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26652.

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Consider the following nonlinear system [Formula Omitted] where ϰ ∈ Rⁿ, f, ℊ₁,…,ℊm are C∞ function in Rⁿ and ℎ is a C∞ function in R⍴, all defined on a neighborhood of 0. The problem of finding a necessary and sufficient condition such that system (1) can be transformed to a linear controllable system by a state coordinate change and feedback has been studied quite well. In this thesis, we first discuss a few different approaches to this problem and eventually we will show that the slightly different versions of the necessary and sufficient condition discovered are equivalent. Next we consider system (1) with all սi,= 0 together with system (2), and study the dual problem of transforming it to a linear observable system by a state and output coordinate change. Finally, we consider briefly system (l) and (2) with nonzero սi and study the problem of transforming it to a linear system that is both completely controllable and observable. Examples are given and applications to local stabilization and estimation are discussed.
Science, Faculty of
Mathematics, Department of
Graduate
9

Shaikh, Mohammad Shahid. "Optimal control of hybrid systems : theory and algorithms." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85095.

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Many complex systems are hybrid in the sense that: (i) the state set possesses continuous and discrete components, and (ii) system evolution may occur in both continuous and discrete time. One important class of hybrid systems is that characterized by a feedback configuration of a set of continuous controlled low level systems and a high level discrete controller; such systems appear frequently in engineering and are particularly evident when a system is required to operate in a number of distinct modes. Other classes of hybrid systems are found in such diverse areas as (i) air traffic management systems, (ii) chemical process control, (iii) automotive engine-transmission systems, and (iv) intelligent vehicle-highway systems.
In this thesis we first formulate a class of hybrid optimal control problems (HOCPs) for systems with controlled and autonomous location transitions and then present necessary conditions for hybrid system trajectory optimality. These necessary conditions constitute generalizations of the standard Minimum Principle (MP) and are presented for the cases of open bounded control value sets and compact control value sets. These conditions give information about the behaviour of the Hamiltonian and the adjoint process at both autonomous and controlled switching times.
Such proofs of the necessary conditions for hybrid systems optimality which can be found in the literature are sufficiently complex that they are difficult to verify and use; in contrast, the formulation of the HOCP given in Chapter 2 of this thesis, together with the use of (i) classical variational methods and more recent needle variation techniques, and (ii) a local controllability condition, called the small time tubular fountain (STTF) condition, make the proofs in that chapter comparatively accessible. We note that the STTF condition is used to establish the adjoint and Hamiltonian jump conditions in the autonomous switchings case.
A hybrid Dynamic Programming Principle (HDPP) generalizing the standard dynamic programming principle to hybrid systems is also derived and this leads to hybrid Hamilton-Jacobi-Bellman (HJB) equation which is then used to establish a verification theorem within this framework. (Abstract shortened by UMI.)
10

Kaszubowski, Lopes Yuri. "Supervisory control theory for controlling swarm robotics systems." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/16765/.

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Swarm robotics systems have the potential to tackle many interesting problems. Their control software is mostly created by ad-hoc development. This makes it hard to deploy swarm robotics systems in real-world scenarios as it is difficult to analyse, maintain, or extend these systems. Formal methods can contribute to overcome these problems. However, they usually do not guarantee that the implementation matches the specification because the system’s control code is typically generated manually. This thesis studies the application of the supervisory control theory (SCT) framework in swarm robotics systems. SCT is widely applied and well established in the man- ufacturing context. It requires the system and the desired behaviours (specifications) to be defined as formal languages. In this thesis, regular languages are used. Regular languages, in the form of deterministic finite state automata, have already been widely applied for controlling swarm robotics systems, enabling a smooth transition from the ad-hoc development currently in practice. This thesis shows that the control code for swarm robotics systems can be automatically generated from formal specifications. Several case studies are presented that serve as guidance for those who want to learn how to specify swarm behaviours using SCT formally. The thesis provides the tools for the implementation of controllers using formal specifications. Controllers are validated on swarms of up to 600 physical robots through a series of systematic experiments. It is also shown that the same controllers can be automatically ported onto different robotics platforms, as long as they offer the required capabilities. The thesis extends and incorporates techniques to the supervisory control theory framework; specifically, the concepts of global events and the use of probabilistic generators. It can be seen as a step towards making formal methods a standard practice in swarm robotics.

Книги з теми "Systems Theory and Control":

1

Caldwell, Raymond. Control systems. Tonbridge: Hands On, 1997.

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2

Anderson, Patrick. Control systems: Classical controls. Delhi: Global Media, 2009.

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3

K, Sinha N. Control systems. New York: Holt, Rinehart and Winston, 1986.

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4

K, Sinha N. Control systems. 2nd ed. New York: Wiley & Sons, 1994.

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5

K, Sinha N. Control systems. New York: CBS Publishing, 1986.

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6

Leigh, J. R. Control Theory. 2nd ed. Stevenage: IET, 2004.

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7

G, Chen. Linear stochastic control systems. Boca Raton: CRC Press, 1995.

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8

Leigh, J. R. Control theory. 2nd ed. London: Institution of Electrical Engineers, 2004.

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9

Rohrs, Charles E. Linear control systems. New York: McGraw-Hill, 1993.

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10

Palm, William J. Control systems engineering. New York: Wiley, 1986.

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Частини книг з теми "Systems Theory and Control":

1

Zabczyk, Jerzy. "Linear control systems." In Mathematical Control Theory, 176–205. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9_13.

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2

Kisačanin, Branislav, and Gyan C. Agarwal. "Modern control theory." In Linear Control Systems, 23–70. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0553-2_2.

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3

Zabczyk, Jerzy. "Systems with constraints." In Mathematical Control Theory, 62–72. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9_5.

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4

Taha, Walid M., Abd-Elhamid M. Taha, and Johan Thunberg. "Control Theory." In Cyber-Physical Systems: A Model-Based Approach, 57–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36071-9_4.

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5

Aubin, Jean-Pierre, Alexandre M. Bayen, and Patrick Saint-Pierre. "Regulation of Control Systems." In Viability Theory, 437–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16684-6_11.

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Aubin, Jean-Pierre. "Regulation of Control Systems." In Viability Theory, 199–234. Boston: Birkhäuser Boston, 2009. http://dx.doi.org/10.1007/978-0-8176-4910-4_8.

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7

Elliott, David L. "Symmetric Systems: Lie Theory." In Bilinear Control Systems, 33–82. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1023/b101451_2.

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8

Pommaret, J. F. "Linear Control Systems." In Partial Differential Control Theory, 567–786. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0854-9_6.

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Pommaret, J. F. "Nonlinear Control Systems." In Partial Differential Control Theory, 787–937. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0854-9_7.

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10

Saavedra, Emma, and Rafael Moreno-Sánchez. "Metabolic Control Theory." In Encyclopedia of Systems Biology, 1239–43. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1161.

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Тези доповідей конференцій з теми "Systems Theory and Control":

1

Dellar, Oliver J., and Bryn Ll Jones. "Discretising the linearised navier-stokes equations: A systems theory approach." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737634.

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2

"Systems theory and control." In 2011 IEEE International Conference on Industrial Technology (ICIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icit.2011.5754337.

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3

"Systems theory and control." In 2011 IEEE 43rd Southeastern Symposium on System Theory (SSST 2011). IEEE, 2011. http://dx.doi.org/10.1109/ssst.2011.5753766.

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4

Mekki, Ahmed, and Simon Collart-Dutilleul. "Graph theory: Application to system recovery." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334718.

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5

"Session 5: System theory and control theory." In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5656954.

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6

Schwarzschild, Renee, and Eduardo D. Sontag. "Algebraic theory of sign-linear systems." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791483.

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Arimoto, S., S. Kawamura, F. Miyazaki, and S. Tamaki. "Learning control theory for dynamical systems." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268737.

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8

Andersson, Stig I., Åke E. Andersson, and Ulf Ottoson. "Theory & Control of Dynamical Systems." In International Conference and Workshop. WORLD SCIENTIFIC, 1992. http://dx.doi.org/10.1142/9789814537957.

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9

Nemcova, Jana, Mihaly Petreczky, and Jan H. van Schuppen. "Realization theory of Nash systems." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399920.

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Shastri, Subramanian V., and Kumpati S. Narendra. "Fractional Order Derivatives in Systems Theory." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147605.

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Звіти організацій з теми "Systems Theory and Control":

1

Seidman, Thomas I. Control Theory and Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada182808.

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2

Baillieul, J. The Nonlinear Control Theory of Complex Mechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada310012.

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3

Shoults, Hugh D. Organizational Systems Theory and Command and Control Concepts. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada589438.

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4

Baillieul, John. The Nonlinear Control Theory of Complex Mechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada342742.

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5

Sontag, Eduardo. Dynamical Systems and Control Theory Inspired by Molecular Biology. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada549208.

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6

Speer, Eugene R. (DURIP) Computer Simulations of Plasmas, Nonlinear Systems and Control Theory. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada219070.

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7

Teel, Andrew R., and Joao P. Hespanha. A Robust Stability and Control Theory for Hybrid Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada470821.

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8

Scheinker, Alexander. Introduction to Control Theory. Part 2. Laplace Transforms and Linear Systems. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1214624.

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Campbell, Stephen L., and William J. Terrell. Derivative Arrays, Geometric Control Theory, and Realizations of Linear Descriptor Systems. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190882.

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10

Emre, Erol. On a Theory of Control for Linear Systems Over Rings and Nonlinear/Time-Varying Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada162680.

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