Log in

Relevant bibliographies by topics / Model predictive control tuning

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Model predictive control tuning'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 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 'Model predictive control tuning.'

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 "Model predictive control tuning"

1

G.S.S.S.S.V., Krishna Mohan. "Auto-tuning Smith-predictive Control of Delayed Processes based on Model Reference Adaptive Controller." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 1224–30. http://dx.doi.org/10.5373/jardcs/v12sp4/20201597.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Alhajeri, Mohammed, and Masoud Soroush. "Tuning Guidelines for Model-Predictive Control." Industrial & Engineering Chemistry Research 59, no. 10 (2020): 4177–91. http://dx.doi.org/10.1021/acs.iecr.9b05931.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Garriga, Jorge L., and Masoud Soroush. "Model Predictive Control Tuning Methods: A Review." Industrial & Engineering Chemistry Research 49, no. 8 (2010): 3505–15. http://dx.doi.org/10.1021/ie900323c.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Trierweiler, J. O., and L. A. Farina. "RPN tuning strategy for model predictive control." Journal of Process Control 13, no. 7 (2003): 591–98. http://dx.doi.org/10.1016/s0959-1524(02)00093-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Trierweiler, J. O., L. A. Farina, and R. G. Duraiski. "RPN tuning strategy for model predictive control." IFAC Proceedings Volumes 34, no. 25 (2001): 245–50. http://dx.doi.org/10.1016/s1474-6670(17)33831-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Di Cairano, S., and A. Bemporad. "Model Predictive Control Tuning by Controller Matching." IEEE Transactions on Automatic Control 55, no. 1 (2010): 185–90. http://dx.doi.org/10.1109/tac.2009.2033838.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Yamashita, André Shigueo, Paulo Martin Alexandre, Antonio Carlos Zanin, and Darci Odloak. "Reference trajectory tuning of model predictive control." Control Engineering Practice 50 (May 2016): 1–11. http://dx.doi.org/10.1016/j.conengprac.2016.02.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Nebeluk, Robert, and Maciej Ławryńczuk. "Tuning of Multivariable Model Predictive Control for Industrial Tasks." Algorithms 14, no. 1 (2021): 10. http://dx.doi.org/10.3390/a14010010.

Full text

Abstract:

This work is concerned with the tuning of the parameters of Model Predictive Control (MPC) algorithms when used for industrial tasks, i.e., compensation of disturbances that affect the process (process uncontrolled inputs and measurement noises). The discussed simulation optimisation tuning procedure is quite computationally simple since the consecutive parameters are optimised separately, and it requires only a very limited number of simulations. It makes it possible to perform a multicriteria control assessment as a few control quality measures may be taken into account. The effectiveness of

APA, Harvard, Vancouver, ISO, and other styles

9

Belda, Květoslav. "On-line Parameter Tuning of Model Predictive Control." IFAC Proceedings Volumes 44, no. 1 (2011): 5489–94. http://dx.doi.org/10.3182/20110828-6-it-1002.00167.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Hu, Haimin, Konstantinos Gatsis, Manfred Morari, and George J. Pappas. "Tuning Communication Latency for Distributed Model Predictive Control." IFAC-PapersOnLine 52, no. 20 (2019): 279–84. http://dx.doi.org/10.1016/j.ifacol.2019.12.194.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Model predictive control tuning"

1

Abdelghafar, Osman Haitham Mohamed Osman. "Tuning model based predictive control using multi-objective evolution algorithms." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Hill, Maxwell D. "Confinement tuning of a 0-D plasma dynamics model." Thesis, Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55057.

Full text

Abstract:

Investigations of tokamak dynamics, especially as they relate to the challenge of burn control, require an accurate representation of energy and particle confinement times. While the ITER-98 scaling law represents a correlation of data from a wide range of tokamaks, confinement scaling laws will need to be fine-tuned to specific operational features of specific tokamaks in the future. A methodology for developing, by regression analysis, tokamak- and configuration-specific confinement tuning models is presented and applied to DIII-D as an illustration. It is shown that inclusion of tuning para

APA, Harvard, Vancouver, ISO, and other styles

3

Sehlin, Olov. "Genetic algorithm tuning of artificial pancreas MPC with individualized models." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76083.

Full text

Abstract:

Diabetes is a growing chronic disease and a worldwide problem. Without any available cure in sight for the public other methods needs to be applied to increase the life quality of diabetic patients. Artificial Pancreas (AP), a concept of having a closed loop system to control the glucose level on Type 1 Diabetes (T1D) patients has been introduced and is under development. In this thesis, Model Predictive Control (MPC) has been re implemented from scratch in MATLAB/SIMULINK with associated Kalman filter and prediction function. It was implemented in the latest version of the UVA/Padova Simulato

APA, Harvard, Vancouver, ISO, and other styles

4

Yamashita, André Shigueo. "Desenvolvimento de técnicas de sintonia baseadas em otimização multi-objetivo para controladores preditivos por modelo." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-28122015-164150/.

Full text

Abstract:

Neste trabalho foram desenvolvidas duas técnicas de sintonia para controladores preditivos por modelo. Ambas visam minimizar a soma do erro quadrático entre respostas do sistema em malha fechada e trajetórias de referência pré-definidas; a primeira resolve um problema de otimização lexicográfica enquanto a segunda resolve um problema de otimização de compromisso. As vantagens dos métodos apresentados são: maior automatização, definição de objetivos de sintonia intuitiva que considera especificações na dinâmica do processo, uma métrica no domínio do tempo e é capaz de incluir o conhecime

APA, Harvard, Vancouver, ISO, and other styles

5

Rogozinski, Maciej W. "Self-tuning predictive control /." Title page, contents and abstract only, 1987. http://web4.library.adelaide.edu.au/theses/09PH/09phr7353.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Barreiro, Gómez Julián. "The role of population games in the design of optimization-based controllers: a large-scale insight." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/565907.

Full text

Abstract:

This thesis is mainly devoted to the study of the role of evolutionary-game theory in the design of distributed optimization-based controllers. Game theoretical approaches have been used in several engineering fields, e.g., drainage wastewater systems, bandwidth allocation, wireless networks, cyber security, congestion games, wind turbines, temperature control, among others. On the other hand, a specific class of games, known as population games, have been mainly used in the design of controllers to manage a limited resource. This game approach is suitable for resource allocation problems sinc

APA, Harvard, Vancouver, ISO, and other styles

7

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

8

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

9

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

10

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

More sources

Books on the topic "Model predictive control tuning"

1

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Kouvaritakis, Basil, and Mark Cannon. Model Predictive Control. 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. 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. 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. 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. Springer, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Zheng, Tao. Advanced model predictive control. InTech, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Takács, Gergely, and Boris Rohaľ-Ilkiv. Model Predictive Vibration Control. 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 "Model predictive control tuning"

1

Ohtsuka, Toshiyuki, and Kohei Ozaki. "Practical Issues in Nonlinear Model Predictive Control: Real-Time Optimization and Systematic Tuning." In Nonlinear Model Predictive Control. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01094-1_35.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Barreiro-Gomez, Julián, Carlos Ocampo-Martinez, and Nicanor Quijano. "Evolutionary Game-Based Dynamical Tuning for Multi-objective Model Predictive Control." In Developments in Model-Based Optimization and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26687-9_6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Kuhn, Max, and Kjell Johnson. "Over-Fitting and Model Tuning." In Applied Predictive Modeling. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6849-3_4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Corriou, Jean-Pierre. "Model Predictive Control." In Process Control. 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

5

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Rengaswamy, Raghunathan, Babji Srinivasan, and Nirav Pravinbhai Bhatt. "Model Predictive Control." In Process Control Fundamentals. CRC Press, 2020. http://dx.doi.org/10.1201/9780367433437-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Wieber, Pierre-Brice. "Model Predictive Control." In Humanoid Robotics: A Reference. 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

10

Frank, Steven A. "Model Predictive Control." In Control Theory Tutorial. 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

Conference papers on the topic "Model predictive control tuning"

1

Garriga, Jorge L., and Masoud Soroush. "Model predictive controller tuning via eigenvalue placement." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586529.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Downs, James J., Ernest F. Vogel, and Vera J. Williams. "Tuning and Sensitivity Study for Model Predictive Control." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4790121.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Olanrewaju, Olumuyiwa I., and Jan M. Maciejowski. "Incorporating control performance tuning into economic model predictive control." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330599.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Wang, Junjie, Xuetian Zhu, Yushan Pei, Di Wang, Qi Shen, and Yingyi Niu. "Adaptive Prescribed Performance Tuning for Model Predictive Control." In 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021. http://dx.doi.org/10.1109/iwcmc51323.2021.9498821.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Ali, Emad, and Evanghelos Zafiriou. "On the Tuning of Nonlinear Model Predictive Control Algorithms." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792969.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Muller, Matthias A., David Angeli, and Frank Allgower. "Economic model predictive control with self-tuning terminal weight." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669271.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ammar, Mohammed E. "Tuning model predictive controllers for cross-direction processes." In 2016 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2016. http://dx.doi.org/10.1109/codit.2016.7593656.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Turki, Marwa, Nicolas Langlois, and Adnan Yassine. "A practical tuning approach for multivariable model predictive control." In 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/icca.2017.8003216.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Wang, Junjie, Xiaotao Liu, Yanming Liu, and Xiaoping Li. "Automated Tuning of Model Predictive Control for Wind Tunnel*." In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE, 2019. http://dx.doi.org/10.1109/isie.2019.8781483.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Gonzales, Oscar, Andres Cela, and Marco Herrera. "Model predictive control tuning based on Extended Kalman Filter." In 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM). IEEE, 2017. http://dx.doi.org/10.1109/etcm.2017.8247480.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Model predictive control tuning"

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

Castanon, David A., and Jerry M. Wohletz. Model Predictive Control for Dynamic Unreliable Resource Allocation. Defense Technical Information Center, 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), 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. SAE International, 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. Defense Technical Information Center, 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. Defense Technical Information Center, 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. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada558989.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Haves, Phillip, Brandon Hencey, Francesco Borrell, et al. Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced. Office of Scientific and Technical Information (OSTI), 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. Defense Technical Information Center, 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, 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

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!