Algorithms and Software for Solving Coupled Discrete-Time Riccati Equations via the L-a-S Language (computer-Aided Design, Control, Game Theory)
West, Phillip James
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69351
Description
Title
Algorithms and Software for Solving Coupled Discrete-Time Riccati Equations via the L-a-S Language (computer-Aided Design, Control, Game Theory)
Author(s)
West, Phillip James
Issue Date
1986
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Abstract
This thesis conducts an in-depth study of the computational issues associated with solving a set of coupled discrete-time Riccati equations. Briefly, the organization of this study is as follows. First, the problem is motivated by discussing two game situations which give rise to coupled discrete-time Riccati equations. Next, the computational aspects of solving these coupled equations are investigated. Finally, algorithms and software are produced that iterate these equations in a numerically robust and computationally efficient manner. The thesis carries the coupled Riccati problem from formulation to software implementation with several theoretical advances along the way. However, the major contribution of this work is the Riccati solution method--i.e., the algorithms and software which solve the problem. As the algorithms are formulated, structured, and subsequently coded, the software engineering factors that influence good software design are addressed. Furthermore, the coupled Riccati software developed here is integrated into a well-known Computer-Aided Design (CAD) software package. Thus, the informal computer user has easy access to software which solves both single and coupled Riccati equations.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.