HMM-Based Characterization of Channel Behavior for Networked Control Systems

Loading...
Thumbnail Image
Penn collection
Departmental Papers (CIS)
Degree type
Discipline
Subject
CPS Embedded Control
Networked Control System
Majority Voting
Hidden Markov Model
Computer Sciences
Controls and Control Theory
Digital Communications and Networking
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Chang, Jian
Venkatasubramanian, Krishna K.
Enyioha, Chinwendu
Sundaram, Shreyas
Contributor
Abstract

We study the problem of characterizing the behavior of lossy and data corrupting communication channels in a networked control setting, where the channel's behavior exhibits temporal correlation. We propose a behavior characterization mechanism based on a hidden Markov model (HMM). The use of a HMM in this regard presents multiple challenges including dealing with incomplete observation sequences (due to data losses and corruptions) and the lack of a priori information about the model complexity (number of states in the model). We address the first challenges by using the plant state information and history of received/applied control inputs to fill in the gaps in the observation sequences, and by enhancing the HMM learning algorithm to deal with missing observations . Further, we adopt two model quality criteria for determining behavior model complexity. The contributions of this paper include: (1) an enhanced learning algorithm for refining the HMM model parameters to handle missing observations, and (2) simultaneous use of two well-defined model quality criteria to determine the model complexity. Simulation results demonstrate over 90% accuracy in predicting the output of a channel at a given time step, when compared to a traditional HMM based model that requires complete knowledge of the model complexity and observation sequence.

Advisor
Date of presentation
2012-04-17
Conference name
Departmental Papers (CIS)
Conference dates
2023-05-17T07:06:50.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
The 1st ACM International Conference on High Confidence Networked Systems (HiCoNS) was held April 17-18, 2012, in Beijing, China as part of Cyber Physical Systems Week 2012 (CPSWeek 2012).
Recommended citation
Collection