Relevant bibliographies by topics / Nonlinear control systems

Contents

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

Academic literature on the topic 'Nonlinear control systems'

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

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Journal articles on the topic "Nonlinear control systems"

1

Kaczorek, Tadeusz. "Nonlinear control systems." Control Engineering Practice 5, no. 5 (May 1997): 733–34. http://dx.doi.org/10.1016/s0967-0661(97)85452-4.

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Gruyitch, Lyubomir T. "Nonlinear hybrid control systems." Nonlinear Analysis: Hybrid Systems 1, no. 2 (June 2007): 139–40. http://dx.doi.org/10.1016/j.nahs.2006.10.001.

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Suyama, Koichi. "Reliable nonlinear control systems." Electronics and Communications in Japan (Part II: Electronics) 82, no. 1 (January 1999): 11–22. http://dx.doi.org/10.1002/(sici)1520-6432(199901)82:1<11::aid-ecjb2>3.0.co;2-x.

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Yu, Qiang, and Bao Wei Wu. "Semistability of Nonlinear Control Systems." Advanced Materials Research 748 (August 2013): 785–88. http://dx.doi.org/10.4028/www.scientific.net/amr.748.785.

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The problem of semistability for nonlinear autonomous systems is investigated. We develop semistability and unsemistability theorems for nonlinear autonomous systems which is stable. These results of this paper are more tractable and practical for semistability of nonlinear autonomous systems than the existing results in the literature. Several examples are included to show that the proposed method is effective.
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Yasinskiy, Vasiliy V., and Mariya V. Trigub. "Control of Nonlinear Stochastic Systems." Journal of Automation and Information Sciences 33, no. 4 (2001): 10. http://dx.doi.org/10.1615/jautomatinfscien.v33.i4.70.

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Fantoni, Isabelle, and Rogelio Lozano. "Control of Nonlinear Mechanical Systems." European Journal of Control 7, no. 2-3 (June 28, 2001): 328–47. http://dx.doi.org/10.3166/ejc.7.328-347.

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Fantoni, Isabelle, and Rogelio Lozano. "Control of Nonlinear Mechanical Systems." European Journal of Control 7, no. 2-3 (January 2001): 328–48. http://dx.doi.org/10.1016/s0947-3580(01)71153-3.

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Kaczorek, Tadeusz. "Nonlinear and optimal control systems." Control Engineering Practice 5, no. 12 (December 1997): 1781. http://dx.doi.org/10.1016/s0967-0661(97)87397-2.

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Corless, Martin. "Control of Uncertain Nonlinear Systems." Journal of Dynamic Systems, Measurement, and Control 115, no. 2B (June 1, 1993): 362–72. http://dx.doi.org/10.1115/1.2899076.

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This paper describes some of my research in the analysis and control of nonlinear uncertain systems in which the uncertainties are modeled deterministically rather than stochastically. The main applications are to mechanical/aerospace systems, such as robots and spacecraft; the underlying theoretical approach is based on Lyapunov theory.
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Elliott, D. L. "Nonlinear Control Systems [Book Reviews]." IEEE Transactions on Automatic Control 42, no. 7 (July 1997): 1043–44. http://dx.doi.org/10.1109/tac.1997.599992.

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Dissertations / Theses on the topic "Nonlinear control systems"

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Grönberg, Fredrik. "Crowd Control of Nonlinear Systems." Thesis, KTH, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138438.

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We study a multi-agent system in R2 where agents have unicycle dynamics with time varying speed and control inputs corresponding to acceleration and angular velocity. The system has a dynamic communication topology based on proximity. We propose a novel decentralized control algorithm derived from a double integrator model using a pairwise potential function. By using an energy function we show that a leaderless system converges to a set where connected agents have equal direction and velocity and potential contributions to the control action cancel each other out. The concept of formation density is defined and studied by numerical simulation. We find a relation between parameters of the controller and the system that makes the system converge to a formation with low density, corresponding to agents being at appropriate distances from each other, also when agents are not restricted to communicating only with their closest neighbors. The algorithm is tested for a system with leaders and properties of this system are investigated numerically. The results confirm that the proportion of leaders needed to guide a certain proportion of the agent in average is nonlinear and decreasing with respect to the number of agents.
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Nevistić, Vesna. "Constrained control of nonlinear systems." Online version, 1997. http://bibpurl.oclc.org/web/26200.

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Tatlicioglu, Enver. "Control of nonlinear mechatronic systems." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1193079994/.

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Samavat, Mohmoud. "Robust control of nonlinear systems." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327647.

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Lei, Hao. "Universal Output Feedback Control of Nonlinear Systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1193422144.

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Abbaspour, Ali Reza. "Active Fault-Tolerant Control Design for Nonlinear Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3917.

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Faults and failures in system components are the two main reasons for the instability and the degradation in control performance. In recent decades, fault-tolerant control (FTC) approaches were introduced to improve the resiliency of the control system against faults and failures. In general, FTC techniques are classified into two major groups: passive and active. Passive FTC systems do not rely on the fault information to control the system and are closely related to the robust control techniques while an active FTC system performs based on the information received from the fault detection and isolation (FDI) system, and the fault problem will be tackled more intelligently without affecting other parts of the system. This dissertation technically reviews fault and failure causes in control systems and finds solutions to compensate for their effects. Recent achievements in FDI approaches, and active and passive FTC designs are investigated. Thorough comparisons of several different aspects are conducted to understand the advantages and disadvantages of different FTC techniques to motivate researchers to further developing FTC, and FDI approaches. Then, a novel active FTC system framework based on online FDI is presented which has significant advantages in comparison with other state of the art FTC strategies. To design the proposed active FTC, a new FDI approach is introduced which uses the artificial neural network (ANN) and a model based observer to detect and isolate faults and failures in sensors and actuators. In addition, the extended Kalman filter (EKF) is introduced to tune ANN weights and improve the ANN performance. Then, the FDI signal combined with a nonlinear dynamic inversion (NDI) technique is used to compensate for the faults in the actuators and sensors of a nonlinear system. The proposed scheme detects and accommodates faults in the actuators and sensors of the system in real-time without the need of controller reconfiguration. The proposed active FTC approach is used to design a control system for three different applications: Unmanned aerial vehicle (UAV), load frequency control system, and proton exchange membrane fuel cell (PEMFC) system. The performance of the designed controllers are investigated through numerical simulations by comparison with conventional control approaches, and their advantages are demonstrated.
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Brunke, Shelby Scott. "Nonlinear filtering and system identification algorithms for autonomous systems /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/7095.

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Ashman, J. A. "Adaptive control of uncertain nonlinear systems." Thesis, University of Bath, 1994. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260256.

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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
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Lemch, Ekaterina S. "Nonlinear and hierarchical hybrid control systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0032/NQ64600.pdf.

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Books on the topic "Nonlinear control systems"

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Isidori, Alberto. Nonlinear control systems. 3rd ed. Berlin: Springer, 1995.

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Isidori, Alberto. Nonlinear Control Systems. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5.

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Isidori, Alberto. Nonlinear Control Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02581-9.

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Nonlinear systems. Englewood Cliffs, N.J: Prentice Hall, 1991.

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Fossard, A. J. Nonlinear Systems: Control 3. Boston, MA: Springer US, 1997.

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Nijmeijer, H. Nonlinear dynamical control systems. 3rd ed. New York: Springer, 1996.

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Nijmeijer, H. Nonlinear dynamical control systems. New York: Springer-Verlag, 1990.

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Isidori, Alberto. Nonlinear Control Systems II. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0549-7.

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Grimble, Michael J., and Paweł Majecki. Nonlinear Industrial Control Systems. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-7457-8.

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Nijmeijer, Henk, and Arjan van der Schaft. Nonlinear Dynamical Control Systems. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-2101-0.

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Book chapters on the topic "Nonlinear control systems"

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Nguyen, Nhan T. "Nonlinear Systems." In Model-Reference Adaptive Control, 17–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56393-0_2.

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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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Campbell, S. L., R. Nikoukhah, and F. Delebecque. "Nonlinear Descriptor Systems." In Advances in Control, 247–81. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0853-5_9.

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Monaco, S., and D. Normand-Cyrot. "On nonlinear digital control." In Nonlinear Systems, 127–55. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6395-2_6.

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Li, Zhijun, Chenguang Yang, and Liping Fan. "Nonlinear Control." In Advanced Control of Wheeled Inverted Pendulum Systems, 77–97. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2963-9_5.

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Yuz, Juan I., and Graham C. Goodwin. "Stochastic Nonlinear Systems." In Communications and Control Engineering, 209–20. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5562-1_17.

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Mouyon, Ph. "First-order control of nonlinear systems." In Nonlinear Systems, 5–43. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6395-2_2.

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Isidori, Alberto. "Local Decompositions of Control Systems." In Nonlinear Control Systems, 1–76. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5_1.

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Isidori, Alberto. "Global Decompositions of Control Systems." In Nonlinear Control Systems, 77–104. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5_2.

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Isidori, Alberto. "Local Decompositions of Control Systems." In Nonlinear Control Systems, 1–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02581-9_1.

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Conference papers on the topic "Nonlinear control systems"

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Zhu, Yunpeng, and Z. Q. Lang. "Analysis of output response of nonlinear systems using nonlinear output frequency response functions." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737517.

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"Content List." In Nonlinear Control Systems, edited by Tarbouriech, Sophie, chair Prieur, Christophe and Queinnec, Isabelle. Elsevier, IFAC, 2013. http://dx.doi.org/10.3182/20130904-3-fr-2041.90001.

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Memon, Attaullah Y. "Optimal output regulation of minimum phase nonlinear systems." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334679.

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Brunton, Steven L., J. Nathan Kutz, Xing Fu, and Mikala Johnson. "Data Driven Control of Complex Optical Systems." In Nonlinear Optics. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/nlo.2015.nw4a.41.

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Zhuang, M. "CAD of nonlinear controllers for nonlinear systems." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960610.

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Sukhorukov, Andrey A., N. Marsal, A. Minovich, D. Wolfersberger, M. Sciamanna, G. Montemezzani, D. N. Neshev, and Yu S. Kivshar. "Control of modulational instability in periodic feedback systems." In Nonlinear Photonics. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/np.2010.nmd7.

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Sangelaji, Zahra. "Stabilisation of multi-input nonlinear systems using associated angular approach." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334678.

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Adetola, Veronica, Devon Lehrer, and Martin Guay. "Adaptive estimation in nonlinearly parameterized nonlinear dynamical systems." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5991365.

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Bongsob Song and J. Karl Hedrick. "Nonlinear observer design for Lipschitz nonlinear systems." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990894.

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Ganesan, Kumaravelu, Afaq Piracha, Olga Freidin, Marcus W. Doherty, Neil B. Manson, and Steven Prawer. "Single Crystal Diamond Cantilevers for Mechanical Control of Quantum Systems." In Nonlinear Optics. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/nlo.2015.nf1a.5.

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Reports on the topic "Nonlinear control systems"

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Byrnes, Christopher I., and Alberto Isidori. Nonlinear Control Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada424276.

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Byrnes, Christopher I., and Alberto Isidori. Nonlinear Control Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada567983.

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Byrnes, Christopher I., and Alberto Isidori. Nonlinear Control Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada471765.

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Sontag, Eduardo D. Control of Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada424799.

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Sontag, Edwardo. Control of Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada270141.

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Sontag, Eduardo D. Control of Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada387250.

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Abed, E. H., J. H. Fu, H. C. Lee, and D. C. Liaw. Bifurcation Control of Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada444561.

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Kosut, Robert L., and M. G. Kabuli. Adaptive Control of Nonlinear Flexible Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada284986.

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Doyle, John C. Robust Control of Uncertain Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada298938.

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Hauser, John E. Modeling and Control of Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1996. http://dx.doi.org/10.21236/ada308161.

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