Fast implementations and rigorous models: Can both be accommodated in NMPC?

DOI10.1002/rnc.1250zbMath1284.93105OpenAlexW2000895741MaRDI QIDQ5405757

Victor M. Zavala, Carl D. Laird, Lorenz T. Biegler

Publication date: 3 April 2014

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.1250

zbMATH Keywords

finite elementssensitivity analysisnonlinear programmingcollocationnonlinear model predictive control

Mathematics Subject Classification ID

Related Items (4)

Efficient Nonlinear Programming Algorithms for Chemical Process Control and Operations ⋮ The advanced-step NMPC controller: Optimality, stability and robustness ⋮ A design technique for fast sampled-data nonlinear model predictive control with convergence and stability results ⋮ An integrated perturbation analysis and sequential quadratic programming approach for model predictive control

Cites Work

• Real-Time Implementation of Nonlinear Model Predictive Control of Batch Processes in an Industrial Framework
• Unnamed Item
• Unnamed Item

This page was built for publication: Fast implementations and rigorous models: Can both be accommodated in NMPC?