Relevant bibliographies by topics / Supervisory model predictive control

Contents

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

Academic literature on the topic 'Supervisory model predictive control'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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 'Supervisory model predictive 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 "Supervisory model predictive control"

1

Tatjewski, Piotr. "Supervisory predictive control and on-line set-point optimization." International Journal of Applied Mathematics and Computer Science 20, no. 3 (September 1, 2010): 483–95. http://dx.doi.org/10.2478/v10006-010-0035-1.

Full text
Abstract:
Supervisory predictive control and on-line set-point optimizationThe subject of this paper is to discuss selected effective known and novel structures for advanced process control and optimization. The role and techniques of model-based predictive control (MPC) in a supervisory (advanced) control layer are first shortly discussed. The emphasis is put on algorithm efficiency for nonlinear processes and on treating uncertainty in process models, with two solutions presented: the structure of nonlinear prediction and successive linearizations for nonlinear control, and a novel algorithm based on
APA, Harvard, Vancouver, ISO, and other styles
2

Jin, Jionghua, Huairui Guo, and Shiyu Zhou. "Statistical Process Control Based Supervisory Generalized Predictive Control of Thin Film Deposition Processes." Journal of Manufacturing Science and Engineering 128, no. 1 (December 15, 2004): 315–25. http://dx.doi.org/10.1115/1.2114912.

Full text
Abstract:
This paper presents a supervisory generalized predictive control (GPC) by combining GPC with statistical process control (SPC) for the control of the thin film deposition process. In the supervised GPC, the deposition process is described as an ARMAX model for each production run and GPC is applied to the in situ thickness-sensing data for thickness control. Supervisory strategies, developed from SPC techniques, are used to monitor process changes and estimate the disturbance magnitudes during production. Based on the SPC monitoring results, different supervisory strategies are used to revise
APA, Harvard, Vancouver, ISO, and other styles
3

Meyer, Kristian, Thomas Bisgaard, Jakob K. Huusom, and Jens Abildskov. "Supervisory Model Predictive Control of the Heat Integrated Distillation Column." IFAC-PapersOnLine 50, no. 1 (July 2017): 7375–80. http://dx.doi.org/10.1016/j.ifacol.2017.08.1506.

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

Kobayashi, Takahiro, and Tetsuji Tani. "Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 5, no. 6 (November 20, 2001): 333–37. http://dx.doi.org/10.20965/jaciii.2001.p0333.

Full text
Abstract:
This paper describes hierarchical control with fuzzy supervisory control and model predictive multivariable control (MPC) in a petroleum plant. MPC is effective in time delay, interference, and handling constraints. Fuzzy logic controllers are effective for plants with large time delay and non-linearity. Our proposed hierarchical control combines their advantages. Fuzzy supervisory control, which determines set points for MPC, consists of an estimation block and a compensation block. We use a statistical model with multi-regression analysis for the estimation block to estimate parameters of pl
APA, Harvard, Vancouver, ISO, and other styles
5

Papangelis, Lampros, Marie-Sophie Debry, Patrick Panciatici, and Thierry Van Cutsem. "Coordinated Supervisory Control of Multi-Terminal HVDC Grids: A Model Predictive Control Approach." IEEE Transactions on Power Systems 32, no. 6 (November 2017): 4673–83. http://dx.doi.org/10.1109/tpwrs.2017.2659781.

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

Creemers, Falco, Alejandro Ivan Morales Medina, Erjen Lefeber, and Nathan van de Wouw. "Design of a supervisory controller for Cooperative Intersection Control using Model Predictive Control." IFAC-PapersOnLine 51, no. 33 (2018): 74–79. http://dx.doi.org/10.1016/j.ifacol.2018.12.096.

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

Li, Su Zhen, Xiang Jie Liu, and Gang Yuan. "Application of Supervisory Predictive Control Based on T-S Model in pH Neutralization Process." Applied Mechanics and Materials 511-512 (February 2014): 867–70. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.867.

Full text
Abstract:
T-S model is linearized at sampling points into the form of linear time-invariant state space , and using supervisory predictive control and muti-step predictive control strategy, which reduces amount of calculation and improves the control performance. Introduction
APA, Harvard, Vancouver, ISO, and other styles
8

Grosso, J. M., C. Ocampo-Martínez, and V. Puig. "Learning-based tuning of supervisory model predictive control for drinking water networks." Engineering Applications of Artificial Intelligence 26, no. 7 (August 2013): 1741–50. http://dx.doi.org/10.1016/j.engappai.2013.03.003.

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

Rosen, C., M. Larsson, U. Jeppson, and Z. Yuan. "A framework for extreme-event control in wastewater treatment." Water Science and Technology 45, no. 4-5 (February 1, 2002): 299–308. http://dx.doi.org/10.2166/wst.2002.0610.

Full text
Abstract:
In this paper an approach to extreme event control in wastewater treatment plant operation by use of automatic supervisory control is discussed. The framework presented is based on the fact that different operational conditions manifest themselves as clusters in a multivariate measurement space. These clusters are identified and linked to specific and corresponding events by use of principal component analysis and fuzzy c-means clustering. A reduced system model is assigned to each type of extreme event and used to calculate appropriate local controller set points. In earlier work we have show
APA, Harvard, Vancouver, ISO, and other styles
10

Morales-Rodelo, Keidy, Mario Francisco, Hernan Alvarez, Pastora Vega, and Silvana Revollar. "Collaborative Control Applied to BSM1 for Wastewater Treatment Plants." Processes 8, no. 11 (November 16, 2020): 1465. http://dx.doi.org/10.3390/pr8111465.

Full text
Abstract:
This paper describes a design procedure for a collaborative control structure in Plant Wide Control (PWC), taking into account the existing controllable parameters as a novelty in the procedure. The collaborative control structure includes two layers, supervisory and regulatory, which are determined according to the dynamics hierarchy obtained by means of the Hankel matrix. The supervisory layer is determined by the main dynamics of the process and the regulatory layer comprises the secondary dynamics and controllable parameters. The methodology proposed is applied to a wastewater treatment pl
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Supervisory model predictive control"

1

Huang, Yang, and S3110949@student rmit edu au. "Model Predictive Control of Magnetic Bearing System." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080430.152045.

Full text
Abstract:
Magnetic Bearing Systems have been receiving a great deal of research attention for the past decades. Its inherent nonlinearity and open-loop instability are challenges for controller design. This thesis investigates and designs model predictive control strategy for an experimental Active Magnetic Bearing (AMB) laboratory system. A host-target development environment of real-time control system with hardware in the loop (HIL) is implemented. In this thesis, both continuous and discrete time model predictive controllers are studied. In the first stage, local MPC controllers are applied to contr
APA, Harvard, Vancouver, ISO, and other styles
2

Boussemart, Yves 1980. "Predictive models of procedural human supervisory control behavior." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/79543.

Full text
Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.<br>Page 150 blank. Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 138-149).<br>Human supervisory control systems are characterized by the computer-mediated nature of the interactions between one or more operators and a given task. Nuclear power plants, air traffic management and unmanned vehicles operations are examples of such systems. In this context, the role of the operators is typically highly proceduralized due to the time and mission-critical nature of the tasks.
APA, Harvard, Vancouver, ISO, and other styles
3

Sadr, Faramarz. "Supervisory model predictive control of building integrated renewable and low carbon energy systems." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/9518.

Full text
Abstract:
To reduce fossil fuel consumption and carbon emission in the building sector, renewable and low carbon energy technologies are integrated in building energy systems to supply all or part of the building energy demand. In this research, an optimal supervisory controller is designed to optimize the operational cost and the CO2 emission of the integrated energy systems. For this purpose, the building energy system is defined and its boundary, components (subsystems), inputs and outputs are identified. Then a mathematical model of the components is obtained. For mathematical modelling of the energ
APA, Harvard, Vancouver, ISO, and other styles
4

Abraham, Etimbuk. "Adaptive supervisory control scheme for voltage controlled demand response in power systems." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/adaptive-supervisory-control-scheme-for-voltage-controlled-demand-response-in-power-systems(3e64537d-52c7-4eb5-87f2-b73fe920b9cb).html.

Full text
Abstract:
Radical changes to present day power systems will lead to power systems with a significant penetration of renewable energy sources and smartness, expressed in an extensive utilization of novel sensors and cyber secure Information and Communication Technology. Although these renewable energy sources prove to contribute to the reduction of CO2 emissions into the environment, its high penetration affects power system dynamic performance as a result of reduced power system inertia as well as less flexibility with regards to dispatching generation to balance future demand. These pose a threat both
APA, Harvard, Vancouver, ISO, and other styles
5

Bacic, Marko. "Model predictive control." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400060.

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

Hanger, Martin Bøgseth. "Model Predictive Control Allocation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13308.

Full text
Abstract:
This thesis developes a control allocation method based on the Model Predictive Control algorithm, to be used on a missile in flight. The resulting Model Predictive Control Allocation (MPCA) method is able to account for actuator constraints and dynamics, setting it aside from most classical methods. A new effector configuration containing two groups of actuators with different dynamic authorities is also proposed. Using this configuration, the MPCA method is compared to the classical methods Linear Programming and Redistributed Pseudoinverse in various flight scenarios, highlighting performan
APA, Harvard, Vancouver, ISO, and other styles
7

Sriniwas, Ganti Ravi. "Nonlinear model predictive control." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/10267.

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

Qi, Kent Zhihua. "Dual-model predictive control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21621.pdf.

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

Couchman, Paul. "Stochastic model predictive control." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442384.

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

Wu, Xingjian. "Stochastic model predictive control." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497157.

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

Books on the topic "Supervisory model predictive control"

1

Camacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.

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

1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.

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

Kouvaritakis, Basil, and Mark Cannon. Model Predictive Control. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24853-0.

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

Camacho, Eduardo F., and Carlos Bordons. Model Predictive Control. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3398-8.

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

Camacho, E. F., and C. Bordons. Model Predictive control. London: Springer London, 2007. http://dx.doi.org/10.1007/978-0-85729-398-5.

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

Zhang, Ridong, Anke Xue, and Furong Gao. Model Predictive Control. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0083-7.

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

Camacho, E. F. Model predictive control. London: Springer, 2003.

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

Zheng, Tao. Advanced model predictive control. Rijeka, Croatia: InTech, 2011.

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

Allgöwer, Frank. Nonlinear Model Predictive Control. Basel: Birkhäuser Basel, 2000.

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

Takács, Gergely, and Boris Rohaľ-Ilkiv. Model Predictive Vibration Control. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2333-0.

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

Book chapters on the topic "Supervisory model predictive control"

1

Corriou, Jean-Pierre. "Model Predictive Control." In Process Control, 631–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_16.

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

Corriou, Jean-Pierre. "Model Predictive Control." In Process Control, 575–615. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_16.

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

Kalbasenka, Alex N., Adrie E. M. Huesman, and Herman J. M. Kramer. "Model Predictive Control." In Industrial Crystallization Process Monitoring and Control, 185–201. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527645206.ch16.

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

Wieber, Pierre-Brice. "Model Predictive Control." In Humanoid Robotics: A Reference, 1077–97. Dordrecht: Springer Netherlands, 2018. http://dx.doi.org/10.1007/978-94-007-6046-2_48.

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

Rengaswamy, Raghunathan, Babji Srinivasan, and Nirav Pravinbhai Bhatt. "Model Predictive Control." In Process Control Fundamentals, 229–50. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780367433437-8.

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

Wieber, Pierre-Brice. "Model Predictive Control." In Humanoid Robotics: A Reference, 1–21. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-007-7194-9_48-1.

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

Frank, Steven A. "Model Predictive Control." In Control Theory Tutorial, 91–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91707-8_12.

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

Mariéthoz, Sébastien, and Stefan Almér. "Model Predictive Control." In Advances in Industrial Control, 321–54. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2885-4_11.

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

Klaučo, Martin, and Michal Kvasnica. "Model Predictive Control." In MPC-Based Reference Governors, 15–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17405-7_3.

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

Featherstone, Andrew P., Jeremy G. VanAntwerp, and Richard D. Braatz. "Model Predictive Control." In Advances in Industrial Control, 129–44. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0413-1_7.

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

Conference papers on the topic "Supervisory model predictive control"

1

Ferrara, Antonella, Simona Sacone, and Silvia Siri. "Supervisory Model Predictive Control for freeway traffic systems." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6759997.

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

Falaki, Ali, and Farzad Towhidkhah. "Supervisory model predictive impedance control for human arm movement." In 2012 20th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2012. http://dx.doi.org/10.1109/iraniancee.2012.6292608.

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

Tyukov, Anton, Maxim Shcherbakov, Alexander Sokolov, Adriaan Brebels, and Mohammed Al-Gunaid. "Supervisory model predictive on/off control of HVAC systems." In 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 2017. http://dx.doi.org/10.1109/iisa.2017.8316434.

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

Keadtipod, Pongsorn, and David Banjerdpongchai. "Design of supervisory cascade model predictive control for industrial boilers." In 2016 International Automatic Control Conference (CACS). IEEE, 2016. http://dx.doi.org/10.1109/cacs.2016.7973895.

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

Negenborn, R. R., A. G. Beccuti, T. Demiray, S. Leirens, G. Damm, B. De Schutter, and M. Morari. "Supervisory hybrid model predictive control for voltage stability of power networks." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282264.

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

Elliott, Matthew S., and Bryan P. Rasmussen. "A model-based predictive supervisory controller for multi-evaporator HVAC systems." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5160498.

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

Plewe, Kaden E., Amanda D. Smith, and Mingxi Liu. "A Supervisory Model Predictive Control Framework for Dual Temperature Setpoint Optimization." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147308.

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

Nejadkazemi, Khatereh, and Ahmad Fakharian. "Pressure control in gas oil pipeline: A supervisory model predictive control approach." In 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA). IEEE, 2016. http://dx.doi.org/10.1109/icciautom.2016.7483195.

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

Elmahdawy, M. Y., M. Abdelgeliel, and Alaa eldin Khalil. "Application of Supervisory Model Predictive Controller in Polymer Extrusion Process." In 2020 4th International Conference on Automation, Control and Robots (ICACR). IEEE, 2020. http://dx.doi.org/10.1109/icacr51161.2020.9265512.

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

Bulut, B., M. R. Katebi, and M. A. Johnson. "Industrial application of model based predictive control as a supervisory system." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.876924.

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

Reports on the topic "Supervisory model predictive 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), September 1994. http://dx.doi.org/10.2172/10178912.

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

Castanon, David A., and Jerry M. Wohletz. Model Predictive Control for Dynamic Unreliable Resource Allocation. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409519.

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

B. Wayne Bequette and Priyadarshi Mahapatra. Model Predictive Control of Integrated Gasification Combined Cycle Power Plants. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1026486.

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

Li, Dinggen, and Yang Ye. The Control of Air-Fuel Ratio of the Engine Based on Model Predictive Control. Warrendale, PA: SAE International, October 2012. http://dx.doi.org/10.4271/2012-32-0050.

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

Ollerenshaw, Douglas, and Mark Costello. Model of Predictive Control of a Direct-Fire Projectile Equipped With Canards. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada432823.

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

Bouffard, Patrick. On-board Model Predictive Control of a Quadrotor Helicopter: Design, Implementation, and Experiments. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada572108.

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

Aswani, Anil, Humberto Gonzalez, S. S. Sastry, and Claire Tomlin. Statistical Results on Filtering and Epi-convergence for Learning-Based Model Predictive Control. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada558989.

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

Haves, Phillip, Brandon Hencey, Francesco Borrell, John Elliot, Yudong Ma, Brian Coffey, Sorin Bengea, and Michael Wetter. Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/988177.

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

Middlebrooks, Sam E., and Brian J. Stankiewicz. Toward the Development of a Predictive Computer Model of Decision Making During Uncertainty for Use in Simulations of U.S. Army Command and Control System. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada443462.

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

Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, January 2020. http://dx.doi.org/10.4271/2019-32-0572.

Full text
Abstract:
Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can c
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Supervisory model predictive 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