Safety prescribed performance control of virtually-coupled trains with multifold kinematic targets and switching constraints.

Virtual coupling (VC), aimed at achieving closer tracking distances and facilitating flexible train formations, has become an efficacious trend for alleviating the increasing demand for transportation capacity as the continuous advancement of urbanization. This paper investigates safety prescribed performance control (SPPC) for VC trains with multifold kinematic targets and switching constraints (SCs). In comparison to traditional continuous PPC methods, SPPC strategy incorporating discontinuous characteristics is designed to ensure that position and speed errors of VC train formation remain within the maximum overshoot limit within a finite time after the mutation of tracking target.

Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling.

The information exchange gap between current operation control and dynamic scheduling in high-speed railway systems (HRSs) still exists, and this gap has hindered the further integrative improvement of HRSs. This paper aims to explore a feasible solution to bridging the information exchange gap for further improving the efficiency of HRSs, with the parallel intelligent systems for integrated HRS operation control and dynamic scheduling first analyzed and constructed using the ACP approach, that is, "artificial systems" (A), "computational experiments," (C) and "parallel execution" (P). Then, on the basis of the constructed parallel intelligent systems, experiments on several typical scenarios in HRSs are conducted to achieve a set of control and management strategies for actual HRSs.