Applying multi-scale b-harris algorithm to vision based navigation for spacecraft

Xue Dan, Xiaokui Yue, Kanzhi Wu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A method for designing robust tracking controllers is proposed in this paper for a class of large-scale interconnected linear systems with uncertainties and time-delays. If the uncertainties satisfy the matching conditions, we can construct a decentralized tracking controller by using the solution of the Riccati equation. With the decentralized controller, the closed-loop system will asymptotically track the reference input, even if the systems contain time-delays in both states and controls. Numerical simulation results and their analysis have demonstrated the effectiveness of the approach proposed.

Original languageEnglish
Pages (from-to)828-833
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume32
Issue number5
StatePublished - 1 Oct 2014

Keywords

  • Algorithms
  • B-Harris
  • Closed loop systems
  • Computer simulation
  • Control
  • Controllers
  • Convolution
  • Design
  • Efficiency
  • Eigenvalues and eigenfunctions
  • Feature extraction
  • Invariance
  • Mathematical operctors
  • Navigation
  • Pixed
  • Riccati equations
  • SIFT(scale invariant feature transform)
  • Spacecraft
  • Statistics
  • Taylor series
  • Time delay
  • Vision-based navigation

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