Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models
From MaRDI portal
Publication:1815725
DOI10.1016/0005-1098(96)00086-6zbMath0875.93324OpenAlexW2063728229WikidataQ59767305 ScholiaQ59767305MaRDI QIDQ1815725
Francis J. III. Doyle, Bryon R. Maner, Babatunde A. Ogunnaike, Ronald K. Pearson
Publication date: 13 May 1997
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(96)00086-6
Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Design techniques (robust design, computer-aided design, etc.) (93B51)
Related Items (14)
Optimal expansions of discrete-time Volterra models using Laguerre functions ⋮ A Family of Model Predictive Control Algorithms With Artificial Neural Networks ⋮ Stability of multiobjective predictive control: A utopia-tracking approach ⋮ Magnitude bounds of generalized frequency response functions for nonlinear Volterra systems described by NARX model ⋮ Optimising Predictive Control Based on Neural Models ⋮ Suboptimal Nonlinear Predictive Control Based on Neural Wiener Models ⋮ Control Quality Assessment of Nonlinear Model Predictive Control Using Fractal and Entropy Measures ⋮ A stable one-step-ahead predictive control of nonlinear systems ⋮ Nonlinear system modeling and identification using Volterra‐PARAFAC models ⋮ Data-driven optimization framework for nonlinear model predictive control ⋮ A convex approach for NMPC based on second order Volterra series models ⋮ Nonlinear predictive control of smooth nonlinear systems based on Volterra models. Application to a pilot plant ⋮ Disturbance modeling and state estimation for offset-free predictive control with state-space process models ⋮ Multiparameter regularization for Volterra kernel identification via multiscale collocation methods
Uses Software
Cites Work
This page was built for publication: Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models
