Reliable Decentralized Controller Design for Discrete/continuous-Time, Sampled-Data, and Multirate Systems
Shor, Molly Hathaway
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/2142/71985
Description
Title
Reliable Decentralized Controller Design for Discrete/continuous-Time, Sampled-Data, and Multirate Systems
Author(s)
Shor, Molly Hathaway
Issue Date
1992
Doctoral Committee Chair(s)
Perkins, W.R.,
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
Engineering, System Science
Abstract
Observer-based controller designs are presented that are robust to failures from a preselected set of sensors or actuators for both centralized and decentralized systems. The designs guarantee stability and an $H\sb\infty$-norm bound on the closed-loop system despite failures in any subset of that preselected set of sensors or actuators. The discrete-time divided-difference operator formulation facilitates the solution of three problems: the unification of discrete- and continuous-time results for sampled-data systems, providing a numerical method for solving the decentralized discrete-time design equation; the design of sampled-data decentralized controllers that bound the continuous-time closed-loop system norm; and the design of multirate decentralized digital controllers for systems with sensors and actuators operating at different sampling and zero-order-hold rates.
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.
