CDS 110b: Receding Horizon Optimal Control: Difference between revisions
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This set of lectures provides an introduction to receding horizon control and its use for two degree of freedom control design. | |||
== Course Materials == | == Course Materials == | ||
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* {{cds110b-wi07 pdfs|L8-2_rhc.pdf|Lecture notes on RHC analysis}} (Fri) | * {{cds110b-wi07 pdfs|L8-2_rhc.pdf|Lecture notes on RHC analysis}} (Fri) | ||
* [http://www.cds.caltech.edu/~murray/courses/cds110/wi07/mp3/21Feb07.mp3 MP3] of Wednesday lecture, 21 Feb 2007 | * [http://www.cds.caltech.edu/~murray/courses/cds110/wi07/mp3/21Feb07.mp3 MP3] of Wednesday lecture, 21 Feb 2007 | ||
* [http://www.cds.caltech.edu/~murray/courses/cds110/wi07/mp3/23Feb07.mp3 MP3] of Friday lecture, 23 Feb 2007 | |||
* {{cds110b-wi07 pdfs|hw7.pdf|HW #7}} (due 29 Feb 07) | |||
== References and Further Reading == | == References and Further Reading == | ||
* <p>[http://www.cds.caltech.edu/~murray/papers/2001n_mur+03-sec.html Online Control Customization via Optimization-Based Control], R. M. Murray et al. In Software-Enabled Control: Information Technology for Dynamical Systems, T. Samad and G. Balas (eds.), IEEE Press, 2001. This paper talks about the CLF-based nonlinear RHC approach and its application on the Caltech ducted fan using NTG.</p> | * <p>[http://www.cds.caltech.edu/~murray/papers/2001n_mur+03-sec.html Online Control Customization via Optimization-Based Control], R. M. Murray et al. In Software-Enabled Control: Information Technology for Dynamical Systems, T. Samad and G. Balas (eds.), IEEE Press, 2001. This paper talks about the CLF-based nonlinear RHC approach and its application on the Caltech ducted fan using NTG.</p> | ||
* <p>[http://dx.doi.org/10.1016/S0005-1098(99)00214-9 Constrained model predictive control: Stability and optimality], D. Q. Mayne, J. B. Rawlings, C. V. Rao and P. O. M. Scokaert. Automatica, 2000, Vol. 36, No. 6, pp. 789-814. This is one of the most referenced comprehensive survey papers on MPC. Gives a nice overview about its history and explains the most important issues and various approaches.</p> | * <p>[http://dx.doi.org/10.1016/S0005-1098(99)00214-9 Constrained model predictive control: Stability and optimality], D. Q. Mayne, J. B. Rawlings, C. V. Rao and P. O. M. Scokaert. Automatica, 2000, Vol. 36, No. 6, pp. 789-814. This is one of the most referenced comprehensive survey papers on MPC. Gives a nice overview about its history and explains the most important issues and various approaches.</p> | ||
== Frequently Asked Questions == | == Frequently Asked Questions == | ||
Latest revision as of 20:42, 30 January 2008
See current course homepage to find most recent page available. |
| CDS 110b | Schedule | Project | FAQ | Reading |
This set of lectures provides an introduction to receding horizon control and its use for two degree of freedom control design.
Course Materials
- Lecture slides on RHC overview (Wed)
- Lecture notes on RHC analysis (Fri)
- MP3 of Wednesday lecture, 21 Feb 2007
- MP3 of Friday lecture, 23 Feb 2007
- HW #7 (due 29 Feb 07)
References and Further Reading
Online Control Customization via Optimization-Based Control, R. M. Murray et al. In Software-Enabled Control: Information Technology for Dynamical Systems, T. Samad and G. Balas (eds.), IEEE Press, 2001. This paper talks about the CLF-based nonlinear RHC approach and its application on the Caltech ducted fan using NTG.
Constrained model predictive control: Stability and optimality, D. Q. Mayne, J. B. Rawlings, C. V. Rao and P. O. M. Scokaert. Automatica, 2000, Vol. 36, No. 6, pp. 789-814. This is one of the most referenced comprehensive survey papers on MPC. Gives a nice overview about its history and explains the most important issues and various approaches.
