An adaptive constraint tightening approach to linear model predictive control based on approximation algorithms for optimization

DOI10.1002/oca.2121zbMath1330.93098OpenAlexW1850466176MaRDI QIDQ5745041

Ion Necoara, Tamas Keviczky, Laura Ferranti

Publication date: 11 February 2016

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2121

zbMATH Keywords

stabilityfeasibilityflight controlembedded controlconstraint tighteningdual fast gradient methodsuboptimal MPC

Mathematics Subject Classification ID

Related Items (4)

Control variable parameterization and optimization method for stochastic linear quadratic models ⋮ Distributed model predictive control -- recursive feasibility under inexact dual optimization ⋮ Predictive control for embedded systems ⋮ Real-time model predictive control based on dual gradient projection: Theory and fixed-point FPGA implementation

Uses Software

• MPT

Cites Work

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