Robust Time Varying Formation Control With Adaptive Submodularity

Abstract

An adaptive formation controller is developed to position nodes within a mobile Network Control System (NCS) composed of heterogeneous agents. Each node is represented with distinct capabilities and constraints with regard to communications, sensing, and mobility. Metrics used to quantify network robustness are developed for weighted graphs. Formation control is implemented to position nodes relative to virtual leaders. A utility function that encapsulates the sensing, communications, robustness, and dynamics of the NCS is designed and shown to be submodular. Submodular function maximization is then used to adaptively recompute the optimal formation in simulation. Submodularity is a property of set functions, which guarantees near-optimal performance if a greedy algorithm is used to iteratively select node locations. This effectually reduces the NP-hard combinatorial optimization problem to a polynomial time process. The greedy algorithm is used to adaptively recompute the optimal formation in simulation. This controller reduces the complexity of employing large numbers of autonomous agents in support of competing objectives.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1060097

Entities

People

  • Noah Wachlin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Bayesian Networks
  • Cognitive Systems Engineering
  • Computational Science
  • Computations
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Equations
  • Graph Theory
  • Mathematics
  • Optimization
  • Polynomials
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Simulations
  • United States Naval Academy
  • Unmanned Aerial Vehicles
  • Unmanned Surface Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

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