Robust regulation of metro lines using time-variant control law
Abstract
This paper presents a new formulation for robust traffic regulation of metro lines. The approach uses a linear time-variant state feedback control law computed in real-time. The formulation is based on the stability analysis using the eigenvalues of the feedback system and consider the traffic model uncertainties and the constraints on its state and control variables. It is assumed the constraints on model variables and uncertain parameter domain defined by convex compact polyhedra. The simplicity and computational efficiency of this formulation makes it applicable to real-time regulation of nowadays metro lines and presents better performance than the obtained using already known robust regulation approaches. © 2003 IFAC.
- Linear programming
- Metro lines
- Optimization
- Robust regulation
- Stability analysis
- Computational efficiency
- Eigenvalues and eigenfunctions
- Feedback control
- Linear programming
- Optimization
- State feedback
- Uncertainty analysis
- Control variable
- Linear time variant
- Metro lines
- Robust regulation
- Stability analysis
- State feedback control law
- Traffic regulations
- Uncertain parameters
- Robust control
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064429323&doi=10.1016%2fS1474-6670%2817%2935676-8&partnerID=40&md5=a14c1a5e5b8e14614116dc900fe0f592https://repositorio.maua.br/handle/MAUA/1050
Collections
Related items
Showing items related by title, author, creator and subject.
-
Robust model predictive control of a pilot plant distillation column (Artigo de Periódico)
P. Martin; Darci Odloak; Fuad Kassab (Elsevier BV, 2012) -
Reference trajectory tuning of model predictive control (Artigo de Periódico)
André S. Yamashita; Paulo Martin Alexandre; Antônio Carlos Zanin; Darci Odloak (Elsevier BV, 2016) -
Disturbance-observer-based model predictive control of underwater vehicle manipulator systems (Trabalho apresentado em evento)
Oliveira, Éverton L.; Orsino, Renato M.M.; Donha, Décio C. (Elsevier B.V., 2021)This paper presents a disturbance-observer-based Model Predictive Control (MPC) for Underwater-Vehicle Manipulators Systems (UVMSs). First, the nominal MPC is formulated considering the lumped uncertainties representation ...