Relevant bibliographies by topics / Multiple model adaptive control

Contents

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

Academic literature on the topic 'Multiple model adaptive control'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Multiple model adaptive control.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Multiple model adaptive control"

1

Yang, Xinhao, and Ze Li. "Congestion Control Based on Multiple Model Adaptive Control." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/714320.

Full text
Abstract:
The congestion controller based on the multiple model adaptive control is designed for the network congestion in TCP/AQM network. As the conventional congestion control is sensitive to the variable network condition, the adaptive control method is adopted in our congestion control. The multiple model adaptive control is introduced in this paper based on the weight calculation instead of the parameter estimation in past adaptive control. The model set is composed by the dynamic model based on the fluid flow. And three “local” congestion controllers are nonlinear output feedback controller based
APA, Harvard, Vancouver, ISO, and other styles
2

Kuipers, Matthew, and Petros Ioannou. "Multiple Model Adaptive Control With Mixing." IEEE Transactions on Automatic Control 55, no. 8 (2010): 1822–36. http://dx.doi.org/10.1109/tac.2010.2042345.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lourenco, J. M. A., and J. M. Lemos. "Learning in switching multiple model adaptive control." IEEE Instrumentation and Measurement Magazine 9, no. 3 (2006): 24–29. http://dx.doi.org/10.1109/mim.2006.1637975.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kim, Youngchol, Sunwook Choi, and Taeshin Cho. "Multiple model adaptive control for interval systems." IFAC Proceedings Volumes 32, no. 2 (1999): 4699–704. http://dx.doi.org/10.1016/s1474-6670(17)56801-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhang, Yingzhao, Weicun Zhang, Xiao Wang, and Handong Li. "Multiple Model Adaptive Control of Flexible Arm." Proceedings of International Conference on Artificial Life and Robotics 24 (January 10, 2019): 391–94. http://dx.doi.org/10.5954/icarob.2019.os14-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nasr, Tamer Ahmed, Hossam A. Abdel Fattah, and Adel A. R. Hanafy. "Multiple-model adaptive control for interval plants." International Journal of Control, Automation and Systems 10, no. 1 (2012): 11–19. http://dx.doi.org/10.1007/s12555-012-0102-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Anderson, Brian D. O., Thomas Brinsmead, Daniel Liberzon, and A. Stephen Morse. "Multiple model adaptive control with safe switching." International Journal of Adaptive Control and Signal Processing 15, no. 5 (2001): 445–70. http://dx.doi.org/10.1002/acs.684.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hespanha, Jo�o, Daniel Liberzon, A. Stephen Morse, Brian D. O. Anderson, Thomas S. Brinsmead, and Franky De Bruyne. "Multiple model adaptive control. Part 2: switching." International Journal of Robust and Nonlinear Control 11, no. 5 (2001): 479–96. http://dx.doi.org/10.1002/rnc.594.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wang, Kang, Xiaoli Li, and Yang Li. "Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming." Discrete Dynamics in Nature and Society 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/6023892.

Full text
Abstract:
Adaptive dynamic programming (ADP) has been tested as an effective method for optimal control of nonlinear system. However, as the structure of ADP requires control input to satisfy the initial admissible control condition, the control performance may be deteriorated due to abrupt parameter change or system failure. In this paper, we introduce the multiple models idea into ADP, multiple subcontrollers run in parallel to supply multiple initial conditions for different environments, and a switching index is set up to decide the appropriate initial conditions for current system. By taking this s
APA, Harvard, Vancouver, ISO, and other styles
10

Maybeck, P. S., and R. D. Stevens. "Reconfigurable flight control via multiple model adaptive control methods." IEEE Transactions on Aerospace and Electronic Systems 27, no. 3 (1991): 470–80. http://dx.doi.org/10.1109/7.81428.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Multiple model adaptive control"

1

Buchstaller, Dominic. "Robust stability and performance for multiple model switched adaptive control." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/72334/.

Full text
Abstract:
While the concept of switching between multiple controllers to achieve a control objective is not new, the available analysis to date imposes various structural and analytical assumptions on the controlled plant. The analysis presented in this thesis, which is concerned with an Estimation-based Multiple Model Switched Adaptive Control (EMMSAC) algorithm originating from Fisher-Jeffes (2003), Vinnicombe (2004), is shown not to have such limitations. As the name suggests, the key difference between EMMSAC and common multiple model type switching schemes is that the switching decision is based on
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Yu. "Adaptive control and learning using multiple models." Thesis, Yale University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10783473.

Full text
Abstract:
<p> Adaptation can have different objectives. Compared to a learning behavior, which is mainly to optimize the rewards/experience obtained through the learning process, adaptive control is a type of adaptation that follows a specific target guided by a controller. Although the targets may be different, the two types of adaption share common research interests.</p><p> One of the popular research techniques for studying adaptation is the use of multiple models, where the system will utilize information from multiple environment observers instead of one to improve the adaptation behavior in ter
APA, Harvard, Vancouver, ISO, and other styles
3

Brend, O. "Implementation and experimental evaluation of multiple model switched adaptive control for FES-based rehabilitation." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364612/.

Full text
Abstract:
Functional electrical stimulation (FES) is a well-established approach that is employed as a therapeutic tool for the restoration of motor control in individuals experiencing muscle impairment. Although its use as a rehabilitation tool is validated by clinical results, current control approaches limit the full exploitation of its potential due to the lack of accuracy with which the FES is applied. Research has thus focused on the use of advanced, closed-loop control algorithms to provide more accurate FES that is both task-oriented, and matches the rehabilitation needs of the patient. Experime
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Xiaoru. "Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kamalasadan, Sukumar. "A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach." University of Toledo / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Sova, Václav. "Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-391815.

Full text
Abstract:
This thesis deals with the derivation of novel adaptive feed forward compensator, which will be used for the control of the electromechanical actuators used in automotive industry. The electromechnical actuators are an electronic throttle valve and an EGR valve. The introduced adaptive compensator is derived from an existing multiple model feedback control method. This work describes the derivation of this method and simulation and experimental verification. In addition, the most well known digital filter differentiators are presented and summarized in this paper because the feed forward compe
APA, Harvard, Vancouver, ISO, and other styles
7

Choi, Jinbae. "Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ni, Lingli. "Fault-Tolerant Control of Unmanned Underwater Vehicles." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28187.

Full text
Abstract:
Unmanned Underwater Vehicles (UUVs) are widely used in commercial, scientific, and military missions for various purposes. What makes this technology challenging is the increasing mission duration and unknown environment. It is necessary to embed fault-tolerant control paradigms into UUVs to increase the reliability of the vehicles and enable them to execute and finalize complex missions. Specifically, fault-tolerant control (FTC) comprises fault detection, identification, and control reconfiguration for fault compensation. Literature review shows that there have been no systematic methods for
APA, Harvard, Vancouver, ISO, and other styles
9

Pinguet, Jérémy. "Contribution à la synthèse de contrôleurs neuronaux robustes par imitation." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG002.

Full text
Abstract:
Cette thèse s'intéresse à l'élaboration de systèmes de contrôle par imitation de comportements ou de décisions répondant à des exigences complexes. L'objectif est de réaliser l'apprentissage d'un contrôleur neuronal de façon efficace et robuste sur une base de données regroupant ces comportements.L'approche retenue unifie les outils de la commande robuste avec ceux de la modélisation par réseaux de neurones. Des méthodes d'identification de systèmes dynamiques sont tout d'abord développées selon des structures neuronales en cohésion avec les représentations de systèmes linéaires à paramètres v
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Multiple model adaptive control"

1

Jeon, Jung Taek. Multiple model adaptive control with application to DemoDICE. University of Toronto, Institute for Aerospace Studies, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jeon, Jung Taek. Multiple model adaptive control with application to DemoDICE. National Library of Canada, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Datta, Aniruddha. Adaptive Internal Model Control. Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-331-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Nguyen, Nhan T. Model-Reference Adaptive Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56393-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Goodwin, Graham, ed. Model Identification and Adaptive Control. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0711-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

United States. National Aeronautics and Space Administration., ed. Model reference adaptive control of robots. Rensselaer Polytechnic Institute, Electrical, Computer and Systems Engineering, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Roderick, Murray-Smith, and Johansen Tor Arne, eds. Multiple model approaches to modelling and control. Taylor & Francis, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zourntos, Takis. Nonlinear adaptive control based on the related model. National Library of Canada, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kovács, Jenö. Model reference adaptive PIP control algorithms: Application to boiler drum control. Oulun yliopisto, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Goodwin, Graham. Model Identification and Adaptive Control: From Windsurfing to Telecommunications. Springer London, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Multiple model adaptive control"

1

Lemos, João M., Rui Neves-Silva, and José M. Igreja. "Multiple Model Adaptive Control." In Adaptive Control of Solar Energy Collector Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06853-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Schott, Kevin D., and B. Wayne Bequette. "Multiple Model Adaptive Control (MMAC)." In Nonlinear Model Based Process Control. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5094-1_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Fabri, Simon G., and Visakan Kadirkamanathan. "Multiple Model Dual Adaptive Control of Spatial Multimodal Systems." In Communications and Control Engineering. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0319-6_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Fabri, Simon G., and Visakan Kadirkamanathan. "Multiple Model Dual Adaptive Control of Jump Nonlinear Systems." In Communications and Control Engineering. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0319-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Jiayi, and Weicun Zhang. "Research on Weighted Multiple Model Adaptive Control Based on U-Model." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8450-3_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Narendra, Kumpati S., Osvaldo A. Driollet, and Koshy George. "Adaptive Control Using Multiple Models: A Methodology." In Modeling, Control and Optimization of Complex Systems. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1139-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Weicun, and Qing Li. "Stable Weighted Multiple Model Adaptive Control of Continuous-Time Plant." In Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5538-1_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhang, Yuzhen, Weicun Zhang, and Jiqiang Wang. "New Progress on Research of Weighted Multiple Model Adaptive Control." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6499-9_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ji, Zhicheng, Rongjia Zhu, and Yanxia Shen. "Fuzzy Multiple Reference Models Adaptive Control Scheme Study." In Advances in Machine Learning and Cybernetics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11739685_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zhang, Weicun, and Qing Li. "Stable Weighted Multiple Model Adaptive Control of Discrete-Time Stochastic Plant." In Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5538-1_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Multiple model adaptive control"

1

Hui, Zengwen, Wannning Wang, and Qian Wang. "Model-free adaptive obstacle avoidance control for multiple unmanned surface vehicles." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065421.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Burakov, M. V. "Fuzzy Multiple Model Adaptive Control." In 2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2019. http://dx.doi.org/10.1109/weconf.2019.8840624.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Baar, Tamas, Bence Beke, Peter Bauer, Balint Vanek, and Jozsef Bokor. "Smoothed multiple model adaptive estimation." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810442.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chang Tan, Gang Tao, and Ruiyun Qi. "Direct adaptive multiple-model control schemes." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580603.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Liu, Jiazhen, Zhenlei Wang, Xin Wang, Dahai Wang, and Feng Qian. "Multiple models robust adaptive control with reduced model." In 2010 8th IEEE International Conference on Control and Automation (ICCA). IEEE, 2010. http://dx.doi.org/10.1109/icca.2010.5524307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rajagopal, A., and K. Krishnamurthy. "Adaptive Control Using Multiple Models and Model Weighting." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0413.

Full text
Abstract:
Abstract A general methodology for the identification and control of dynamical systems with several operating environments and possessing a high degree of uncertainty is presented. Neural networks are used to create multiple models to capture the dynamics of the various environments of the system. Control is effected by combining these models by using an evolutionary strategy. The methodology is applied to the problem of controlling a two-link robotic manipulator in the presence of disturbances and varying load conditions. Simulated results presented show that the proposed methodology yields b
APA, Harvard, Vancouver, ISO, and other styles
7

Knoebel, Nathan, and Jovan Boskovic. "Model Selection Analysis in Multiple Model Adaptive Control." In AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6063.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Ya, Zhuo Kong, and Baoyong Zhao. "Multiple-Model Adaptive Control - Disturbance Rejection Study." In 2015 International Conference on Electromechanical Control Technology and Transportation. Atlantis Press, 2015. http://dx.doi.org/10.2991/icectt-15.2015.8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Maybeck, P. S., and R. D. Stevens. "Reconfigurable flight control via multiple model adaptive control methods." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lourenco, J. M., and J. M. Lemos. "On-line model bank enlargement for multiple model adaptive control." In European Control Conference 2007 (ECC). IEEE, 2007. http://dx.doi.org/10.23919/ecc.2007.7068734.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Multiple model adaptive control"

1

Baum, C. C., K. L. Buescher, V. Hanagandi, R. Jones, and K. Lee. Adaptive model predictive control using neural networks. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10178912.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Candy, J. Model Reference Adaptive Control (MRAC) for Additive Manufacturing. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1798434.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Durling, Mike. Direct Model Reference Adaptive Control for a Magnetic Bearing. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/767405.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Morris, Nancy M., William B. Rouse, and Paul R. Frey. Adaptive Aiding for Symbiotic Human-Computer Control: Conceptual Model and Experimental Approach. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada153870.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Eguchi, Hiroaki, Takanori Fukao, and Koichi Osuka. Design Method of Reference Model for Active Steering Based on Nonlinear Adaptive D* Control. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0423.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Gruenwald, Benjamin, and Joshua Bryson. Adaptive Control for a Guided Projectile with High-Order Actuator Dynamics Using an Expanded Reference Model. DEVCOM Army Research Laboratory, 2021. http://dx.doi.org/10.21236/ad1153646.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hardt, D. E., E. Papadpoulos, and A. Suzuki. Study of reduced order model reference adaptive control systems for improved process control. Final report, May 1, 1982-January 31, 1986. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/6114568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Heinz, Kevin, Itamar Glazer, Moshe Coll, Amanda Chau, and Andrew Chow. Use of multiple biological control agents for control of western flower thrips. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7613875.bard.

Full text
Abstract:
The western flower thrips (WFT), Frankliniella occidentalis (Pergande), is a serious widespread pest of vegetable and ornamental crops worldwide. Chemical control for Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae) on floriculture or vegetable crops can be difficult because this pest has developed resistance to many insecticides and also tends to hide within flowers, buds, and apical meristems. Predatory bugs, predatory mites, and entomopathogenic nematodes are commercially available in both the US and Israel for control of WFT. Predatory bugs, such as Orius species, can suppre
APA, Harvard, Vancouver, ISO, and other styles
9

Huang, Hui-Min. Outline of a multiple dimensional reference model architecture and a knowledge engineering methodology for intelligent systems control. National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5643.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wegner, Michael D. Physician Provider Profiling in Brooke Army Medical Center's Internal Medicine Clinic: A Multiple Regression and Process Control Model. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada420371.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Multiple model adaptive control' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography