Coordinated Control of Multiple Ramp Metering Based on DHP (¿) Controller

Bai, Xuerui; Zhao, Dan; Yi, Jianqiang; Xu, Jing

doi:10.1109/itsc.2008.4732647

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Reinforcement Learning and Adaptive Dynamic Programming1

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Cited by 3 publications

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“…More in detail, the algorithm uses a single step computation of the neural network to approximate the performance index which will be obtained by iterating the dynamic programming algorithm. The method provides us with a feasible and effective way to address many optimal control problems; examples can be found in the cart-pole control [13,20], pendulum robot upswing control [26], urban intersection traffic signal control [15], freeway ramp metering [6,27], play Go-Moku [28], and so on. However, the learning inefficiency of R-L is also inherited in ADP but can also be remedied with a supervisor to formulate SADP.…”

Section: Reinforcement Learning and Adaptive Dynamic Programmingmentioning

confidence: 99%