Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/69345
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dc.titleAn iterative learning approach for local ramp metering
dc.contributor.authorHou, Z.
dc.contributor.authorZhong, H.
dc.contributor.authorXu, J.-X.
dc.date.accessioned2014-06-19T02:59:37Z
dc.date.available2014-06-19T02:59:37Z
dc.date.issued2004
dc.identifier.citationHou, Z.,Zhong, H.,Xu, J.-X. (2004). An iterative learning approach for local ramp metering. Proceedings of the IEEE International Conference on Control Applications 2 : 989-994. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69345
dc.description.abstractIn this work, we apply the iterative learning control approach to address the ramp metering in a macroscopic level freeway environment. By formulating the original ramp metering problem into an output tracking and disturbance rejection problem, iterative learning control method can greatly improve the traffic response. The learning mechanism is further combined with well-known ALINEA in a complementary and modular manner and is able to achieve the desired control performance. The effectiveness of the new approach is verified through rigorous theoretical analysis and simulations. © 2004 IEEE.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IEEE International Conference on Control Applications
dc.description.volume2
dc.description.page989-994
dc.identifier.isiutNOT_IN_WOS
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