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Mathematical Problems in Engineering
Volume 2014, Article ID 809124, 12 pages
http://dx.doi.org/10.1155/2014/809124
Research Article

Distributed Model Predictive Control over Multiple Groups of Vehicles in Highway Intelligent Space for Large Scale System

School of Transportation Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China

Received 29 May 2014; Revised 18 June 2014; Accepted 11 July 2014; Published 23 July 2014

Academic Editor: Wuhong Wang

Copyright © 2014 Tang Xiaofeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Gao, J. Liu, G. Xu, K. Guo, and Y. Cui, “Vehicle state detection in highway intelligent space based on information fusion,” in Proceedings of the Twelfth COTA International Conference of Transportation Professionals (CICTP '12), pp. 2307–2318, Beijing, China, August 2012.
  2. J. R. Mawhinney, “Fixed fire protection systems in tunnels: issues and directions,” Fire Technology, vol. 49, no. 2, pp. 477–508, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. T.-T. Chen and Y. T. Hsu, “The research on the operating performance assessment for the automatic incident detection system of the highway tunnel-as an example of ba-guah mountain tunnel in Taiwan,” in Proceedings of the GeoHunan International Conference—Tunnel Management, Emerging Technologies, and Innovation, pp. 40–47, Hunan, China, June 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Yan, H. Chen, and L. Wang, “Visual characteristics of the driver to tunnel group traffic safety,” in Proceedings of the 3rd International Conference on Transportation Engineering (ICTE '11), pp. 3009–3014, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Li and Y. Shi, “Distributed model predictive control of constrained nonlinear systems with communication delays,” Systems and Control Letters, vol. 62, no. 10, pp. 819–826, 2013. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  6. J. Zhang and J. Liu, “Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties,” Journal of Process Control, vol. 23, pp. 1281–1295, 2013. View at Publisher · View at Google Scholar
  7. W. B. Dunbar and R. M. Murray, “Distributed receding horizon control for multi-vehicle formation stabilization,” Automatica, vol. 42, no. 4, pp. 549–558, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  8. Y. Zheng, S. Li, and N. Li, “Distributed model predictive control over network information exchange for large-scale systems,” Control Engineering Practice, vol. 19, no. 7, pp. 757–769, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. K. Kon, S. Habasaki, H. Fukushima, and F. Matsuno, “Model predictive based multi-vehicle formation control with collision avoidance and localization uncertainty,” in Proceedings of the IEEE/SICE International Symposium on System Integration (SII '12), pp. 212–217, Kyushu University, Fukuoka, Japan, December 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. S. G. Kim, M. Tomizuka, and K. H. Cheng, “Smooth motion control of the adaptive cruise control system by a virtual lead vehicle,” International Journal of Automotive Technology, vol. 13, no. 1, pp. 77–85, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. F. Peng, “Adaptive intelligent backstepping longitudinal control of vehicleplatoons using output recurrent cerebellar model articulation controller,” Expert Systems with Applications, vol. 37, no. 3, pp. 2016–2027, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. S. Li, K. Li, R. Rajamani, and J. Wang, “Model predictive multi-objective vehicular adaptive cruise control,” IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 556–566, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. Zhang and S. Li, “Networked model predictive control based on neighbourhood optimization for serially connected large-scale processes,” Journal of Process Control, vol. 17, no. 1, pp. 37–50, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. G. J. L. Naus, J. Ploeg, M. J. G. van de Molengraft, P. M. H. Heemels, and M. Steinbuch, “Design and implementation of parameterized adaptive cruise control: an explicit model predictive control approach,” Control Engineering Practice, vol. 18, no. 8, pp. 882–892, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Petrinic and I. Petrovic, “Longitudinal spacing control of vehicles in a platoon for stable and increased traffic flow,” in Proceedings of the IEEE International Conference on Control Applications (CCA '12), pp. 178–183, Dubrovnik, Croatia, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. P. D. Christofides, R. Scattolini, D. Muñoz de la Peña, and J. Liu, “Distributed model predictive control: a tutorial review and future research directions,” Computers and Chemical Engineering, vol. 51, pp. 21–41, 2013. View at Publisher · View at Google Scholar · View at Scopus