Suboptimal Control Strategies for Finite-Time Nonlinear Processes with Input Constraints
Joint Authors
Rivadeneira, Pablo S.
Adam, Eduardo J.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Novel techniques for the optimization and control of finite-time processes in real-time are pursued.
These are developed in the framework of the Hamiltonian optimal control.
Two methods are designed.
The first one constructs the reference control trajectory as an approximation of the optimal control via the Riccati equations in an adaptive fashion based on the solutions of a set of partial differential equations called the α and β matrices.
These allow calculating the Riccati gain for a range of the duration of the process T and the final penalization S.
The second method introduces input constraints to the general optimization formulation.
The notions of linear matrix inequalities allow us to recuperate the Riccati gain as in the first method, but using an infinite horizon optimization method.
Finally, the performance of the proposed strategies is illustrated through numerical simulations applied to a batch reactor and a penicillin fed-batch reactor.
American Psychological Association (APA)
Rivadeneira, Pablo S.& Adam, Eduardo J.. 2013. Suboptimal Control Strategies for Finite-Time Nonlinear Processes with Input Constraints. Journal of Nonlinear Dynamics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-452474
Modern Language Association (MLA)
Rivadeneira, Pablo S.& Adam, Eduardo J.. Suboptimal Control Strategies for Finite-Time Nonlinear Processes with Input Constraints. Journal of Nonlinear Dynamics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-452474
American Medical Association (AMA)
Rivadeneira, Pablo S.& Adam, Eduardo J.. Suboptimal Control Strategies for Finite-Time Nonlinear Processes with Input Constraints. Journal of Nonlinear Dynamics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-452474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452474