Journal article
Multivariable nonlinear controller synthesis in discrete-time
Computers & chemical engineering, v 22(7), pp 1065-1088
1998
Abstract
For a nonlinear process with a generically singular characteristic matrix, input–output linearization is usually not achievable with a static state feedback, and one has to use a dynamic state feedback. A systematic and general approach to input–output linearizing feedback control of nonlinear processes with a egenerically singular or nonsingular characteristic matrix is presented. Mixed error- and state-feedback, error-feedback, and mixed error- and output-feedback control laws are derived. The derived feedback control laws reject step disturbances asymptotically and induce linear, input–output, closed-loop behavior to the process under consideration. The theoretical connections between the derived control laws and (a) model predictive control and (b) several already-available linear deadtime compensation methods are established. The application and performance of the derived control laws are illustrated and compared with those of model predictive control, by numerical simulation of a chemical reactor.
Metrics
Details
- Title
- Multivariable nonlinear controller synthesis in discrete-time
- Creators
- Masoud Soroush - Drexel UniversitySairam Valluri - Drexel University
- Publication Details
- Computers & chemical engineering, v 22(7), pp 1065-1088
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000074882400018
- Scopus ID
- 2-s2.0-0031639678
- Other Identifier
- 991019168304404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Chemical