CDS 110b: Receding Horizon Optimal Control: Difference between revisions

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* <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 ==

Revision as of 05:35, 23 February 2007

WARNING: This page is for a previous year.
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

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.

Frequently Asked Questions