A passivity approach for model-based compositional design of networked control systems

Abstract

The integration of physical systems through computing and networking has become pervasive, a trend now known as cyber-physical systems (CPS). Functionality in CPS emerges from the interaction of networked computational and physical objects. System design and integration are particularly challenging because fundamentally different physical and computational design concerns intersect. The impact of these interactions is the loss of compositionality which creates tremendous challenges. The key idea in this article is to use passivity for decoupling the control design of networked systems from uncertainties such as time delays and packet loss, thus providing a fundamental simplification strategy that limits the complexity of interactions. The main contribution is the application of the approach to an experimental case study of a networked multi-robot system. We present a networked control architecture that ensures the overall system remains stable in spite of implementation uncertainties such as network delays and data dropouts, focusing on the technical details required for the implementation. We describe a prototype domain-specific modeling language and automated code generation tools for the design of networked control systems on top of passivity that facilitate effective system configuration, deployment, and testing. Finally, we present experimental evaluation results that show decoupling of interlayer interactions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 01, 2012
Source ID
10.1145/2362336.2362342

Entities

People

  • Emeka Eyisi
  • Heath LeBlanc
  • Janos Sztipanovits
  • Joseph Hall
  • Joseph Porter
  • Nicholas Kottenstette
  • Xenofon Koutsoukos

Organizations

  • Air Force Office of Scientific Research
  • Army Research Office
  • Division of Computer and Network Systems
  • Division of Computing and Communication Foundations
  • Vanderbilt University

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Computer Networking

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Cyber