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• W3044125910 abstract "This paper investigates the robust perimeter control for two urban regions with sampled-data and input saturation. Based on the macroscopic fundamental diagram, an uncertain network vehicle balance model is established for two urban regions. Instead of the continued feedback control, this paper designs a sampled-data feedback control law to stabilize the traffic accumulations at the desired state. Based on the Lyapunov function theory, the stability condition of two urban regions is given in the form of linear matrix inequalities (LMIs), which ensures that the traffic accumulation for each region is stabilized at the desired state. Moreover, for the inevitable disturbances, the robust saturation control strategy is designed such that the traffic accumulation for each region is robustly stabilized at the desired state, and meanwhile a less disturbance attenuation level is guaranteed. Numerical examples are given to illustrate the effectiveness of the proposed methods." @default.
• W3044125910 created "2020-07-29" @default.
• W3044125910 creator A5020096496 @default.
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• W3044125910 date "2020-07-20" @default.
• W3044125910 modified "2023-10-16" @default.
• W3044125910 title "Robust perimeter control design for two urban regions with sampled-data and input saturation" @default.
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• W3044125910 doi "https://doi.org/10.1080/21680566.2020.1785352" @default.
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