Moving Horizon Estimation on a Chip

Abstract

This work investigated the feasibility of solving Moving Horizon Estimation (MHE) problems in hardware, e.g. Field Programmable Gate Arrays (FPGA), in contrast to using software. With the hardware approach we could build customized computational machines for specific algorithms and hence gain computational and power efficiency, which is crucial for embedded real-time applications where computational resources are limited. A hardware approach enables one to build certifiable components and is also less susceptible to software virus attack. Using high level synthesis tools instead of low level hardware description languages, we demonstrated that it is feasible to routinely deploy customized, sophisticated computational algorithms such as MHE, on reconfigurable hardware for real-time embedded applications.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 2014
Accession Number
ADA605918

Entities

People

  • Keck Voon Ling

Organizations

  • Nanyang Technological University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Embedded Systems
  • Field Programmable Gate Arrays
  • Kalman Filters
  • Language
  • Linear Systems
  • Micro Air Vehicles
  • Model Predictive Control
  • Navigation
  • Nonlinear Systems
  • Radar Tracking
  • Signal Processing
  • Software-Defined Hardware

Fields of Study

  • Computer science

Readers

  • Computer Programming and Software Development.
  • Software Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.