system-identification-helicopter/CITATION.cff at master · dronefreak/system-identification-helicopter · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "System Identification for Unmanned Helicopter using Metaheuristic Algorithms"
version: 2.0.0
date-released: 2026-01-06
url: "https://github.com/dronefreak/system-identification-helicopter"
repository-code: "https://github.com/dronefreak/system-identification-helicopter"
license: MIT

authors:
  - family-names: "Krishnan"
    given-names: "Navaneeth"
    affiliation: "Independent Researcher"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Kumaar"
    given-names: "Saumya"
    affiliation: "Independent Researcher"
    website: "https://dronefreak.bitbucket.io/"

keywords:
  - system-identification
  - helicopter
  - unmanned-aerial-vehicle
  - optimization
  - genetic-algorithm
  - invasive-weed-optimization
  - particle-swarm-optimization
  - simulated-annealing
  - artificial-bee-colony
  - metaheuristic
  - state-space-model
  - MATLAB
  - control-systems
  - UAV
  - TREX-550

abstract: >
  This software implements system identification for an unmanned TREX 550
  flybarless helicopter using multiple metaheuristic optimization algorithms.
  The system optimizes 40 aerodynamic and control parameters in a state-space
  model based on Bernard Mettler's Yamaha RMAX helicopter framework. The
  optimization maximizes the Pearson correlation coefficient between actual
  flight test data and simulated model outputs. Implemented algorithms include
  Invasive Weed Optimization (IWO), Genetic Algorithm (GA), Artificial Bee
  Colony (ABC), Bees Behavior Algorithm (BBA), Particle Swarm Optimization
  (PSO), and Simulated Annealing (SA).

references:
  - type: article
    authors:
      - family-names: "Mettler"
        given-names: "Bernard"
    title: "Identification Modeling and Characteristics of Miniature Rotorcraft"
    journal: "Kluwer Academic Publishers"
    year: 2003
    scope: "The state-space helicopter model structure is based on this work."

  - type: software
    authors:
      - name: "Yarpiz Team"
    title: "YPEA - Yarpiz Evolutionary Algorithms"
    url: "https://yarpiz.com"
    year: 2015
    scope: "IWO, ABC, and SA algorithm implementations adapted from this framework."

preferred-citation:
  type: software
  authors:
    - family-names: "Krishnan"
      given-names: "Navaneeth"
    - family-names: "Kumaar"
      given-names: "Saumya"
  title: "System Identification for Unmanned Helicopter using Metaheuristic Algorithms"
  version: 2.0.0
  year: 2019
  url: "https://github.com/dronefreak/system-identification-helicopter"

# BibTeX format for convenience
identifiers:
  - type: other
    value: >
      @software{krishnan2019sysid,
        author = {Krishnan, Navaneeth and Kumaar, Saumya},
        title = {System Identification for Unmanned Helicopter using Metaheuristic Algorithms},
        year = {2019},
        publisher = {GitHub},
        version = {2.0.0},
        url = {https://github.com/dronefreak/system-identification-helicopter}
      }
    description: "BibTeX citation"