Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69345
Title: An iterative learning approach for local ramp metering
Authors: Hou, Z.
Zhong, H.
Xu, J.-X. 
Issue Date: 2004
Source: Hou, 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.
Abstract: In 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.
Source Title: Proceedings of the IEEE International Conference on Control Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/69345
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