PLAYBACK BUFFERING AND CONTROL FOR LINEAR MULTIPLE INPUT MULTIPLE OUTPUT NETWORK CONTROL SYSTEMS

In this dissertation, we derive a generalized switched system model for a control strategy aimed at stabilizing linear stable Network Control Systems (NCS). In some special cases, plant states can be brought to a desired set-point by applying a single control. For such systems, we mathematically prove that the control strategy guarantees asymptotic stability under arbitrary switching. We also show that a small modification of the original strategy can be used to stabilize any stable linear NCS. Our work is based on a special case of the control strategy outlined in Liberatore [26]. The previous work only considered losses on the path from the plant sensors to the controller. If there are losses on the path between the controller and the plant, there might be discrepancies between the controller’s estimates and the actual plant states. Our mathematical model considers losses on both paths. Unlike the previous work, which considered only single input single output (SISO) systems, our model is generalized for multiple input multiple output (MIMO) systems. We simulate our control scheme on owd and rtt data collected by three different methods. We define our own performance index and theoretically derive the upper bound on performance for different system parameters. We experimentally evaluate the noise rejection property of our strategy under stochastic disturbances using our performance index.

Name thesis:degree_name

Master of Sciences

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

EECS - Computer and Information Sciences

Grantor dc:publisher

Case Western Reserve University School of Graduate Studies

Year dc:date

2013

Author dc:creator

• saha, dhrubajyoti

Contributors dc:contributor

• Liberatore, Vincenzo

• Communication
• Computer Science
• Computer Engineering
• Engineering
• Systems Design
• Systems Science
• network control system
• asymptotic stability arbitrary switching

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=case1363411715

OAI identifier oai:identifier

oai:etd.ohiolink.edu:case1363411715