Relevant bibliographies by topics / Adaptive control

Academic literature on the topic 'Adaptive control'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Adaptive control"

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Bhardwaj, Mayank, Kunal Giri, and Digvijay Rajput Mohd Samsh. "Steering Control Adaptive Headlight using Sensor." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 603–4. http://dx.doi.org/10.31142/ijtsrd23872.

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Pasik-Duncan, B. "Adaptive Control." IEEE Control Systems 16, no. 2 (April 1996): 87. http://dx.doi.org/10.1109/mcs.1996.487415.

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Harris, Thomas J. "Adaptive Control." Technometrics 33, no. 4 (November 1991): 487. http://dx.doi.org/10.1080/00401706.1991.10484889.

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Tomei, Patrizio. "Adaptive control." Automatica 38, no. 6 (June 2002): 1093–94. http://dx.doi.org/10.1016/s0005-1098(01)00300-4.

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Ioannou, Petros. "Adaptive control." Automatica 33, no. 4 (April 1997): 749. http://dx.doi.org/10.1016/s0005-1098(97)85779-2.

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Clarke, D. W. "Adaptive control." Automatica 27, no. 1 (January 1991): 207–8. http://dx.doi.org/10.1016/0005-1098(91)90023-u.

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Barash, Moshe M. "Adaptive control." Journal of Manufacturing Systems 5, no. 2 (January 1986): 145. http://dx.doi.org/10.1016/0278-6125(86)90040-3.

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Linh, Vuong Thuy, Chu Manh Tuyen, and Le Ngoc Giang. "Study Adaptive Backstepping Control for My Quadrotor." International Journal of Research Publication and Reviews 4, no. 3 (March 10, 2023): 1478–88. http://dx.doi.org/10.55248/gengpi.2023.32716.

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IWAI, Zenta, Ikurou MIZUMOTO, Katsumi ADACHI, and Hiroshi DOUZONO. "Decentralized Adaptive Control Based on Simple Adaptive Control Method." Transactions of the Society of Instrument and Control Engineers 28, no. 9 (1992): 1052–60. http://dx.doi.org/10.9746/sicetr1965.28.1052.

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Abouelsoud, A. A., Reda Abobeah, and Abdullah Al-odienat. "ADAPTIVE OUTPUT FEEDBACK CONTROL OF CHEMICAL BATCH REACTOR." Journal of Control Engineering and Technology 4, no. 3 (July 30, 2014): 205–9. http://dx.doi.org/10.14511/jcet.2014.040306.

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Dissertations / Theses on the topic "Adaptive control"

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Fu, Ye. "Robust adaptive control." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/30574.

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This thesis describes discrete robust adaptive control methods based on using slow sampling and slow adaptation. For the stability analysis, we consider that the plant model order is not exactly known and assume that the estimation model order is lower than the plant model order. A stability condition is derived with a given upper limit for the adaptation gain which is related to a strictly positive real operator. Discussion of the relation between sampling and stability condition is then given. For the robust adaptive control design, we study slow adaptation and predictive control. For the slow adaptation, the main idea is to use only good estimates and use a compensation filter. Some frequency domain information on the plant is necessary for this method. For predictive control, we discuss the relationship between the extended control horizon and the critical sampling. For a simple case, it is shown that the larger extended control horizon brings more robust adaptive control. The purpose of this thesis is to provide robust discrete adaptive controller design guidelines, especially in such cases as using slow sampling frequency, slow adaptation rate. It is true that in practice, for various discrete adaptive control algorithms, slow sampling and slow adaptation rate will bring more robustness. The use of slow sampling and slow adaptation rate is simple and economic, thus a careful choice of sampling rate and adaptation rate is highly recommended. This thesis provides such guidelines for choosing proper sampling rate and adaptation rate for robust discrete adaptive control.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Jervis, Timothy Tristram. "Connectionist adaptive control." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319554.

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Lee, Bernard K. 1975. "Adaptive structural control." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50021.

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Love, Lonnie J. "Adaptive impedance control." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/15911.

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Gendron, Sylvain. "Model weighting adaptive control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/NQ44437.pdf.

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Hutchinson, James H. "Reduced-order adaptive control." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-05022009-040532/.

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Rysdyk, Rolf T. "Adaptive nonlinear flight control." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/12108.

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Gendron, Sylvain. "Model weighting adaptive control." Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=34965.

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The main exercise of this thesis is the formulation of a mathematical framework for analyzing an existing industrial adaptive control algorithm labeled Model weighting adaptive control (MWAC). The algorithm is then analyzed under this framework. The exercise is complemented by a set of algorithmic additions aimed at solving questions that so far had remained open (e.g. the treatment of undermodelling errors). Those solutions, on the other hand build on results derived from the analysis.
A key result for analyzing the algorithm is that when an external excitation is applied (in the form of a control task such as a setpoint change), the adaptive controller behaves, in a short time that follows the application of the excitation, as a linear equation whose parameters are completely known at design time. It follows that during this short period, the input signal provided to the estimation subsystem is at least partially known (except for disturbances) and that the estimation virtually takes place in open loop. Using this information and assuming boundedness of the disturbance signals, it is possible to bound the behaviour of the adaptive system at an early stage.
With the MWAC algorithm, the plant model is formed by making a weighted sum of a finite number of possible plant models. It is shown that, under adequate conditions and in a time corresponding to the apparent plant delay, the plant model will "jump" to a neighborhood of the true plant. The size of this neighborhood will depend in part on how sharply the bad models are discriminated from the good models. On the other hand, disturbances will smooth the weight map towards a uniform distribution. The sharpness or smoothness of the weight map can be measured online by computing the sum of the square root of all the weights in the set. The remarkable property of this measure is that an upper bound on the distance between the true plant and its model can be found which an affine function of the measure.
The effect of external disturbances such as measurement errors can be reduced by an external excitation of sufficient magnitude. This is not true however of disturbances caused by undermodelling errors which are almost always present to a lesser or greater degree. Two solutions are proposed to counteract this undesirable effect. The first method consists in bandpass filtering the input/output data in such a way that the frequency content of the data is consistent with data obtained from some first order plus delay (FOPD) model. The second method adjusts the sampling period online such that a compromise between satisfying the FOPD assumption and the coarseness of the control is obtained.
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Yoon, Tae-Woong. "Robust adaptive predictive control." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359527.

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Oram, Paul. "Internal model adaptive control." Thesis, University of Newcastle Upon Tyne, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440564.

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Books on the topic "Adaptive control"

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Landau, I. D., R. Lozano, and M. M’Saad. Adaptive Control. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M'Saad, and Alireza Karimi. Adaptive Control. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1.

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1958-, Lee Tong Heng, Ho Weng K, and Instrument Society of America, eds. Adaptive control. Research Triangle Park, N.C: Instrument Society of America, 1993.

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Åström, Karl J. Adaptive control. 2nd ed. Mineola, N.Y: Dover Publications, 2008.

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Åström, Karl J. Adaptive control. 2nd ed. Mineola, N.Y: Dover Publications, 2008.

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Björn, Wittenmark, ed. Adaptive control. Reading, Mass: Addison-Wesley, 1989.

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Landau, Yoan D. Adaptive control. London: Springer, 1998.

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Björn, Wittenmark, ed. Adaptive control. 2nd ed. Reading, Mass: Addison-Wesley, 1995.

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1961-, Sun Jing, ed. Robust adaptive control. Upper Saddle River, NJ: PTR Prentice-Hall, 1996.

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Stefanovic, Margareta, and Michael G. Safonov. Safe Adaptive Control. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-453-1.

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Book chapters on the topic "Adaptive control"

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Adaptive Prediction." In Adaptive Control, 193–203. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_6.

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Landau, I. D., R. Lozano, and M. M’Saad. "Adaptive Prediction." In Adaptive Control, 195–207. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_6.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Introduction to Adaptive Control." In Adaptive Control, 1–33. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_1.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Robust Parameter Estimation." In Adaptive Control, 329–57. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_10.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Direct Adaptive Control." In Adaptive Control, 359–407. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_11.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Indirect Adaptive Control." In Adaptive Control, 409–56. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_12.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Multimodel Adaptive Control with Switching." In Adaptive Control, 457–75. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_13.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Adaptive Regulation—Rejection of Unknown Disturbances." In Adaptive Control, 477–97. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_14.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Adaptive Feedforward Compensation of Disturbances." In Adaptive Control, 499–521. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_15.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Practical Aspects." In Adaptive Control, 523–40. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_16.

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Conference papers on the topic "Adaptive control"

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Dai, Jiyang, and Jin Ying. "Adaptive mutation based particle swarm optimization algorithm." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334664.

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Garcia, Guillermo, Gao Bo, Kim Bill Insup, Matthias Wellers, and Tommi Jokela. "Model-Based Design of PHEV Adaptive Control." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516779.

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Lin, Nanzhu, Xin Wang, Yanan Zhang, Chunze Wang, and Shu Diao. "Adaptive control design of uncertain piecewise-linear systems." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334736.

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Fini, L., and S. Esposito. "Tip-Tilt Control Loop Optimization." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.athc.11.

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Li, Nan, and Guangzhou Zhao. "Adaptive signal control for urban traffic network gridlock." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737520.

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Rodrigues, Maradona, Andrew McGordon, Graham Gest, and James Marco. "Adaptive tactical behaviour planner for autonomous ground vehicle." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737631.

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Sumislawska, Malgorzata, and Keith J. Burnham. "Adaptive unknown input reconstruction scheme for Hammerstein-Wiener systems." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915118.

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Wu, Kang, and Wei Sun. "Adaptive tracking control for a new mobile manipulator model." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915122.

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Brase, J., J. An, K. A. Avicola, D. Gavel, C. Max, S. Olivier, K. Waltjen, et al. "Keck Adaptive Optics: Wavefront Control Subsystem." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.amb.4.

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Adaptive optics on the Keck 10 meter telescope will provide an unprecedented level of capability in highresolution ground-based astronomical imaging [1,2]. The system is designed to provide near diffraction limited imaging performance with Strehl > 0.3 n median Keck seeing of r0 = 25 cm, t0 = 10 msec at 500 nm wavelength. The system will be equipped with a 20 watt sodium laser guide star to provide nearly full sky coverage.
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Lloyd-Hart, M., and T. Rhoadarmer. "Wavefront Control Optimization using Adaptive Filters." In Adaptive Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.athc.14.

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A key component in any close-loop adaptive optics (AO) system is the algorithm which converts signals from the wavefront sensor into commands to the correcting element. Much work has recently been devoted to the study of the optimal implementation of this algorithm, both in the theoretical [1, 2] and practical [3] domains.
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Reports on the topic "Adaptive control"

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Friedlander, B. Adaptive Decentralized Control. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada160187.

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Narenda, Kumpati S. Decentralized Control and Decentralized Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada454926.

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Brockett, R. W. Adaptive Filtering and Control. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada219556.

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Valavani, Lena. Robust and Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada224810.

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Sastry, Shankar S. Adaptive and Nonlinear Control Methodologies. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada200694.

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Morse, A. S. Adaptive Control of Multivariable Systems. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada205103.

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Ikeda, Yutaka, James Ramsey, Eugene Lavretsky, and Patrick McCormick. Robust Adaptive Control of UCAVs. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada427938.

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Brockett, R. W. Geometric Problems in Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, December 1986. http://dx.doi.org/10.21236/ada182831.

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Marcus, Steven I. Stochastic Adaptive Estimation and Control. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada289088.

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Morse, A. S. Adaptive Control of Multivariable Systems. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada162795.

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