Real-time model predictive control based on dual gradient projection: Theory and fixed-point FPGA implementation
From MaRDI portal
Publication:2832687
DOI10.1002/rnc.3507zbMath1350.93037OpenAlexW2227886250WikidataQ59240900 ScholiaQ59240900MaRDI QIDQ2832687
Matteo Rubagotti, Alberto Guiggiani, Panagiotis Patrinos, Alberto Bemporad
Publication date: 11 November 2016
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2381/36035
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
Massively parallelizable proximal algorithms for large‐scale stochastic optimal control problems ⋮ Automatically generated embedded model predictive control: Moving an industrial PC‐based MPC to an embedded platform
Cites Work
- Computational complexity certification for dual gradient method: application to embedded MPC
- Introductory lectures on convex optimization. A basic course.
- Embedded Online Optimization for Model Predictive Control at Megahertz Rates
- Rate Analysis of Inexact Dual First-Order Methods Application to Dual Decomposition
- An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control
- Application of a Smoothing Technique to Decomposition in Convex Optimization
- Invariant approximations of the minimal robust positively Invariant set
- Computational Complexity Certification for Real-Time MPC With Input Constraints Based on the Fast Gradient Method
- An adaptive constraint tightening approach to linear model predictive control based on approximation algorithms for optimization
- Systems with persistent disturbances: Predictive control with restricted constraints
- The explicit linear quadratic regulator for constrained systems
This page was built for publication: Real-time model predictive control based on dual gradient projection: Theory and fixed-point FPGA implementation