Nonlinear model predictive control to automatic train regulation of metro system: an exact solution for embedded applications

DOI10.1016/J.AUTOMATICA.2024.111533MaRDI QIDQ6491108

Zi-You Gao, Yin Yuan, Shukai Li, Lixing Yang

Publication date: 24 April 2024

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

model predictive controlBenders decompositionspatial branch and boundmetro systemautomatic train regulation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85) Model predictive control (93B45)

Cites Work

• Generation of optimal schedules for metro lines using model predictive control
• Fixed-structure \(H_\infty\) controller synthesis: a meta-heuristic approach using simple constrained particle swarm optimization
• Local energy minimization in optimal train control
• Control of systems integrating logic, dynamics, and constraints
• Proximal ADMM for nonconvex and nonsmooth optimization
• Cooperative control for multiple train systems: self-adjusting zones, collision avoidance and constraints
• Analytical convergence regions of accelerated gradient descent in nonconvex optimization under regularity condition
• A branch-and-cut algorithm for mixed-integer bilinear programming
• Shrinking horizon parametrized predictive control with application to energy-efficient train operation
• Energy-efficient train control: from local convexity to global optimization and uniqueness
• Generalized Benders decomposition
• Multiphase mixed-integer nonlinear optimal control of hybrid electric vehicles
• Traffic modeling and state feedback control for metro lines
• Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems

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