Название: Traffic Congestion Control by PDE Backstepping Автор:Yu H., Krstic M. Издательство:Springer Год:2022 Формат: PDF Страниц: 363 Размер: 10,6 МБ Язык: English
This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem – suppressing traffic with stop-and-go oscillations downstream of ramp metering – before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail.
Feedback Control for Computer Systems Название: Feedback Control for Computer Systems Автор: Philipp K. Janert Издательство: O'Reilly Media Год: 2013 Формат: PDF Размер: 16 Мб Язык:...
Large Scale Networks: Modeling and Simulation Название: Large Scale Networks: Modeling and Simulation Автор: Radu Dobrescu (Author), Florin Ionescu Издательство: CRC Press Год: 2016 Страниц: 302...
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Traffic Congestion Control by PDE Backstepping 
