Robust Adaptive Predictive Control of Nonlinear Processes Using Nonlinear Moving Average System Models
Author:
Affiliation:
1. Advanced Control and Optimization Division, Aspen Technology Inc., 9896 Bissonnet, Houston, Texas 77036-8220
2. School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47906
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie990393e
Reference21 articles.
1. Nonlinear model-based control using second-order Volterra models
2. Hernandez, E. Control of nonlinear systems using input−output information. Ph.D. Dissertation, Georgia Institute of Technology, Atlanta, GA, 1992.
3. Modeling of nonlinear discrete-time systems from input-output data
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