Complexity, Robustness, and Multistability in Network Systems with Switching Topologies: A Hierarchical Hybrid Control Approach

Abstract

Controls research under this program concentrated on the development of a unified discontinuous dynamical framework for nonlinear network systems. In particular, control algorithms were developed to address agent interactions, cooperative and non-cooperative control, task assignments, and resource allocations. To realize these tasks, appropriate sensory and cogitative capabilities such as adaptation, learning, decision-making, and agreement (or consensus) on the agent and multiagent levels were also developed. In addition, disturbance rejection and robustness for addressing communication/sensor noise and model uncertainties, as well as synchronism, system time-delays, and switching network topologies for addressing information asynchrony between agents, message transmission and processing delays, and communication link failures and communication dropouts were also addressed.

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Document Details

Document Type
Technical Report
Publication Date
May 22, 2015
Accession Number
ADA622518

Entities

People

  • Wassim M. Haddad

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Closed Loop Systems
  • Computing System Architectures
  • Contracts
  • Control Systems
  • Cooperative Control
  • Detectors
  • Differential Equations
  • Lyapunov Functions
  • Multiagent Systems
  • Network Architecture
  • Network Topology
  • Sensor Networks
  • Spacecraft
  • Topology
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.