Robin L. Raffard, Ph.D. - Publications
Affiliations: | 2007 | Stanford University, Palo Alto, CA |
Area:
Aerospace EngineeringYear | Citation | Score | |||
---|---|---|---|---|---|
2008 | Ma D, Amonlirdviman K, Raffard RL, Abate A, Tomlin CJ, Axelrod JD. Cell packing influences planar cell polarity signaling. Proceedings of the National Academy of Sciences of the United States of America. 105: 18800-5. PMID 19022903 DOI: 10.1073/Pnas.0808868105 | 0.657 | |||
2008 | Waslander SL, Raffard RL, Tomlin CJ. Market-based air traffic flow control with competing airlines Journal of Guidance, Control, and Dynamics. 31: 148-161. DOI: 10.2514/1.30595 | 0.704 | |||
2008 | Raffard RL, Amonlirdviman K, Axelrod JD, Tomlin CJ. An adjoint-based parameter identification algorithm applied to planar cell polarity signaling Ieee Transactions On Automatic Control. 53: 109-121. DOI: 10.1109/Tac.2007.911362 | 0.704 | |||
2007 | Raffard RL, Amonlirdviman K, Axelrod JD, Tomlin CJ. Probing biological cell networks using mathematical models Ifac Proceedings Volumes (Ifac-Papersonline). 7: 372-378. DOI: 10.3182/20070822-3-Za-2920.00062 | 0.702 | |||
2006 | Raffard RL, Amonlirdviman K, Axelrod JD, Tomlin CJ. PARAMETER IDENTIFICATION VIA THE ADJOINT METHOD: APPLICATION TO PROTEIN REGULATORY NETWORKS Ifac Proceedings Volumes. 39: 475-482. DOI: 10.3182/20060402-4-Br-2902.00475 | 0.719 | |||
2006 | Bayen AM, Raffard RL, Tomlin CJ. Adjoint-based control of a new Eulerian network model of air traffic flow Ieee Transactions On Control Systems Technology. 14: 804-818. DOI: 10.1109/Tcst.2006.876904 | 0.679 | |||
2005 | Raffard RL, Waslander SL, Bayen AM, Tomlin CJ. A cooperative distributed approach to multi-agent Eulerian network control: Application to air traffic management Collection of Technical Papers - Aiaa Guidance, Navigation, and Control Conference. 3: 1947-1966. | 0.646 | |||
2004 | Bayen AM, Raffard RL, Tomlin CJ. Network congestion alleviation using adjoint hybrid control: Application to highways Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2993: 95-110. | 0.658 | |||
Show low-probability matches. |