A data-driven control design approach for freeway traffic ramp metering with virtual reference feedback tuning

DOI10.1155/2014/936531zbMath1407.90102OpenAlexW2079698100WikidataQ59070939 ScholiaQ59070939MaRDI QIDQ1719434

Jiangen Hao, Zhongsheng Hou, Ronghu Chi, Shangtai Jin

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/936531

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Traffic problems in operations research (90B20)

Related Items (1)

ALINEA

Uses Software

• Matlab
• PARAMICS

Cites Work

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• Approximate I/O feedback linearization of discrete-time nonlinear systems via virtual input direct design
• Virtual reference feedback tuning: A direct method for the design of feedback controllers
• From experiment design to closed-loop control
• Sliding mode control with bounded \(\mathcal L_2\) gain performance of Markovian jump singular time-delay systems
• Reducing highway congestion: an empirical approach
• A survey on iterative learning control for nonlinear systems
• Iterative feedback tuning—an overview
• New results on the synthesis of PID controllers
• Direct Nonlinear Control Design: The Virtual Reference Feedback Tuning (VRFT) Approach
• Dissipativity-Based Sliding Mode Control of Switched Stochastic Systems

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