Stabilization of Networked Control Systems Under Feedback-based Communication

Abstract

We study the stabilization of a networked control system (NSC) in which multiple sensors and actuators of a physical plant share a communication medium to exchange information with a remote controller. The plant's sensors and actuators are allowed only limited access to the controller at any one time, in a way that is decided on-line using a feedback based communication policy. Our NCS model departs from those in previous formulations in that the controller and plant handle communication disruptions "ignoring" (in a sense that will be made precise) sensors and actuators that are not actively communicating. We present an algorithm that provides a complete and straightforward method for simultaneously determining stabilizing gains and communication policies and avoids the computational complexity and limitations associated with some previously proposed models. We introduce three feedback-based scheduling policies that quadratically stabilize the closed-loop NCS while achieving various objectives related to the system's rate of convergence, the priorities of different sensors and actuators, and the avoidance of chattering.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA439038

Entities

People

  • D. Hristu-varsakelis
  • Lei Zhang

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Access Time
  • Actuators
  • Algorithms
  • Batch Reactors
  • Closed Loop Systems
  • Computational Complexity
  • Control Systems
  • Dwell Time
  • Dynamics
  • Eigenvalues
  • Engineering
  • Feedback
  • Guarantees
  • Mechanical Engineering
  • Scheduling (Production)
  • Sequences
  • Switches

Readers

  • Operations Research
  • Radio communications and signal processing.
  • Robotics and Automation.