Try Mobilus Beta
Search tips
Open Access

A Novel Flight Dynamics Modeling Using Robust Support Vector Regression against Adversarial Attacks

Journal Article
01-16-03-0019
ISSN: 1946-3855, e-ISSN: 1946-3901
DOI: https://doi.org/10.4271/01-16-03-0019
Published March 24, 2023 by SAE International in United States
A Novel Flight Dynamics Modeling Using Robust Support Vector Regression against Adversarial Attacks
Sector:
Citation: Hashemi, S. and Botez, R., "A Novel Flight Dynamics Modeling Using Robust Support Vector Regression against Adversarial Attacks," SAE Int. J. Aerosp. 16(3):305-323, 2023, https://doi.org/10.4271/01-16-03-0019.
Language: English

References

  1. Ebeid , E. , Skriver , M. , Terkildsen , K.H. , Jensen , K. et al. A Survey of Open-Source UAV Flight Controllers and Flight Simulators Microprocessors and Microsystems 61 2018 11 20
  2. Saggiani , G. , Persiani , F. , Ceruti , A. , Tortora , P. et al. A UAV System for Observing Volcanoes and Natural Hazards AGU Fall Meeting Abstracts San Francisco, CA 2007 GC11B-05
  3. Alzahrani , B. , Oubbati , O.S. , Barnawi , A. , Atiquzzaman , M. et al. UAV Assistance Paradigm: State-of-the-Art in Applications and Challenges Journal of Network and Computer Applications 166 2020 102706
  4. Stengel , R.F. Flight Dynamics Princeton, NJ Princeton University Press 2015
  5. Vega , L.F.L. , Lopez-Neri , E. , Arellano-Muro , C.A. , González-Jiménez , L.E. et al. UAV Flight Instructional Design for Industry 4.0 Based on the Framework of Educational Mechatronics IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society Singapore 2020 2313 2318
  6. Botez , R. 2018 1 11
  7. Hashemi , S. and Botez , R. Lyapunov-Based Robust Adaptive Configuration of the UAS-S4 Flight Dynamics Fuzzy Controller The Aeronautical Journal 126 2022 1187 1209
  8. Wang , Q. and Stengel , R.F. Robust Nonlinear Flight Control of A High-Performance Aircraft IEEE Transactions on Control Systems Technology 13 1 2004 15 26
  9. Ghazi , G. , Botez , R. , and Messi Achigui , J. Cessna Citation X Engine Model Identification from Flight Tests SAE Int. J. Aerosp. 8 2 2015 203 213 https://doi.org/10.4271/2015-01-2390
  10. Zhou , X. , Yu , X. , Guo , K. , Zhou , S. et al. Safety Flight Control Design of a Quadrotor UAV with Capability Analysis IEEE Transactions on Cybernetics 53 3 2021 1738 1751
  11. Chabir , A. , Boukhnifer , M. , Bouteraa , Y. , Chaibet , A. et al. Modelling and Fixed Order Robust H∞ Control of Aerial Vehicle: Simulation and Experimental Results Compel: International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35 3 2016 1064 1085
  12. Kuitche , M.A.J. and Botez , R.M. Modeling Novel Methodologies for Unmanned Aerial Systems—Applications to the UAS-S4 Ehecatl and the UAS-S45 Bálaam Chinese Journal of Aeronautics 32 1 2019 58 77
  13. Kuitche , M. , Segui , M. , Botez , R.M. , and Ghazi , G. New Methodology for Longitudinal Flight Dynamics Modelling of the UAS-S4 Ehecatl towards Its Aerodynamics Estimation Modelling AIAA Modeling and Simulation Technologies Conference Grapevine, TX 2017 0807
  14. Kuitche , M.A.J. , Botez , R.M. , Guillemin , A. , and Communier , D. Aerodynamic Modelling of Unmanned Aerial System through Nonlinear Vortex Lattice Method, Computational Fluid Dynamics and Experimental Validation—Application to the UAS-S45 Bàlaam: Part 1 INCAS Bulletin 12 1 2020 91 103
  15. Kuitche , M.A.J. , Botez , R.M. , Guillemin , A. , and Communier , D. Aerodynamic Modelling of Unmanned Aerial System through Nonlinear Vortex Lattice Method, Computational Fluid Dynamics and Experimental Validation—Application to the UAS-S45 Bàlaam: Part 2 INCAS Bulletin 12 2 2020 99 115
  16. Botez , R.M. , Hamel , C. , Ghazi , G. , Boughari , Y. et al. Level D Research Aircraft Flight Simulator Use for Novel Methodologies in Aircraft Modeling and Simulation Third International Workshop on Numerical Modelling in Aerospace Sciences NMAS Bucharest, Romania 2015
  17. Mosbah , A.B. , Botez , R.M. , and Dao , T.M. A Hybrid Original Approach for Prediction of the Aerodynamic Coefficients of an ATR-42 Scaled Wing Model Chinese Journal of Aeronautics 29 1 2016 41 52
  18. Hashemi , S.M. , Botez , R.M. , and Grigorie , T.L. New Reliability Studies of Data-Driven Aircraft Trajectory Prediction Aerospace 7 10 2020 145
  19. Andrianantara , R.P. , Ghazi , G. , and Botez , R.M. Aircraft Engine Performance Model Identification Using Artificial Neural Networks AIAA Propulsion and Energy 2021 Forum 2021 3247
  20. Segui , M. and Botez , R.M. Electric Motor Modeling using Artificial Neural Networks: Application for Drones AIAA AVIATION 2021 FORUM 2021 3003
  21. van Iersel , Q.G. , Murrieta Mendoza , A. , Felix Patron , R.S. , Hashemi , S.M. et al. Attack and Defense on Aircraft Trajectory Prediction Algorithms AIAA AVIATION 2022 Forum Chicago, IL 2022 4027
  22. Yu , Y. , Yao , H. , and Liu , Y. Physics-Based Learning for Aircraft Dynamics Simulation PHM Society Conference Philadelphia, PA 2018
  23. Yu , Y. , Yao , H. , and Liu , Y. Aircraft Dynamics Simulation Using a Novel Physics-Based Learning Method Aerospace Science and Technology 87 2019 254 264
  24. Chen , S. , Cao , Y. , Kang , Y. , Zhu , R. et al. Deep CNN Identifier for Dynamic Modelling of Unmanned Helicopter Liu , D. , Xie , S. , Li , Y. , Zhao , D. et al. International Conference on Neural Information Processing Cham Springer 2017 51 60
  25. Van Dyk , D.A. and Meng , X.-L. The Art of Data Augmentation Journal of Computational and Graphical Statistics 10 1 2001 1 50
  26. Santi , G.M. , Ceruti , A. , Liverani , A. , and Osti , F. Augmented Reality in Industry 4.0 and Future Innovation Programs Technologies 9 2 2021 33
  27. Giridhara , P.K.B. , Mishra , C. , Venkataramana , R.K.M. , Bukhari , S.S. et al. A Study of Various Text Augmentation Techniques for Relation Classification in Free Text ICPRAM 2019 Prague, Czech Republic 2019 360 367
  28. Hashemi , S.M. and Botez , R.M. Support Vector Regression Application for the Flight Dynamics New Modelling of the UAS-S4 AIAA SCITECH 2022 Forum San Diego, CA 2022 2576
  29. Awad , M. and Khanna , R. Support Vector Regression Efficient Learning Machines Springer 2015 Apress, Berkeley, CA 67 80
  30. Liu , Q. , Li , P. , Zhao , W. , Cai , W. et al. A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View IEEE Access 6 2018 12103 12117
  31. Huang , S. , Papernot , N. , Goodfellow , I. , Duan , Y. et al. 2017
  32. Tuzcu , I. , Marzocca , P. , Cestino , E. , Romeo , G. et al. Stability and Control of a High-Altitude, Long-Endurance UAV Journal of Guidance, Control, and Dynamics 30 3 2007 713 721
  33. Zienkiewicz , O.C. , Taylor , R.L. , and Zhu , J.Z. The Finite Element Method: Its Basis and Fundamentals Amsterdam, the Netherlands Elsevier 2005
  34. Belhocine , A. and Ghazaly , N.M. Effects of Material Properties on Generation of Brake Squeal Noise Using Finite Element Method Latin American Journal of Solids and Structures 12 2015 1432 1447
  35. Belhocine , A. and Abdullah , O.I. Thermomechanical Model for the Analysis of Disc Brake Using the Finite Element Method in Frictional Contact Multiscale Science and Engineering 2 1 2020 27 41
  36. Caughey , D.A. 2011
  37. Nelson , R.C. Flight Stability and Automatic Control 2 New York WCB/McGraw Hill 1998
  38. Belhocine , A. , Stojanovic , N. , and Abdullah , O.I. Numerical Simulation of Laminar Boundary Layer Flow over a Horizontal Flat Plate in External Incompressible Viscous Fluid European Journal of Computational Mechanics 30 4-6 2021 337 386
  39. Belhocine , A. Numerical Study of Heat Transfer in Fully Developed Laminar Flow inside a Circular Tube The International Journal of Advanced Manufacturing Technology 85 9 2016 2681 2692
  40. Belhocine , A. and Abdullah , O.I. Numerical Simulation of Thermally Developing Turbulent Flow through a Cylindrical Tube The International Journal of Advanced Manufacturing Technology 102 5 2019 2001 2012
  41. Afzal , A. , Soudagar , M.E.M. , Belhocine , A. , Kareemullah , M. et al. Thermal Performance of Compression Ignition Engine Using High Content Biodiesels: A Comparative Study with Diesel Fuel Sustainability 13 14 2021 7688
  42. Sadeghzadeh , I. , Mehta , A. , and Zhang , Y. Fault/Damage Tolerant Control of a Quadrotor Helicopter UAV Using Model Reference Adaptive Control and Gain-Scheduled PID AIAA Guidance, Navigation, and Control Conference Portland, OR 2011 6716
  43. Lawrence , D.A. and Rugh , W.J. Gain Scheduling Dynamic Linear Controllers for a Nonlinear Plant Automatica 31 3 1995 381 390
  44. Dubost , F. , Bortsova , G. , Adams , H. , Ikram , M.A. et al. Hydranet: Data Augmentation for Regression Neural Networks International Conference on Medical Image Computing and Computer-Assisted Intervention Cham Springer 2019 438 446
  45. Dijkstra , T. and Veldkamp , J.H. Data-Driven Selection of Regressors and the Bootstrap Dijkstra , T.K. On Model Uncertainty and Its Statistical Implications Berlin Springer 1988 17 38
  46. Cherkassky , V. and Ma , Y. Practical Selection of SVM Parameters and Noise Estimation for SVM Regression Neural Networks 17 1 2004 113 126
  47. Sebald , D.J. and Bucklew , J.A. Support Vector Machine Techniques for Nonlinear Equalization IEEE Transactions on Signal Processing 48 11 2000 3217 3226
  48. Gunn , S.R. Support Vector Machines for Classification and Regression ISIS Technical Report 14 1 1998 5 16
  49. Lorenzi , L. , Mercier , G. , and Melgani , F. Support Vector Regression with Kernel Combination for Missing Data Reconstruction IEEE Geoscience and Remote Sensing Letters 10 2 2012 367 371
  50. Chen , D.-R. , Wu , Q. , Ying , Y. , and Zhou , D.-X. Support Vector Machine Soft Margin Classifiers: Error Analysis The Journal of Machine Learning Research 5 2004 1143 1175
  51. Huang , X. , Kroening , D. , Ruan , W. , Sharp , J. et al. A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Computer Science Review 37 2020 100270
  52. Fan , Y. , Wu , B. , Li , T. , Zhang , Y. et al. Sparse Adversarial Attack via Perturbation Factorization Computer Vision–ECCV 2020: 16th European Conference Glasgow, UK 2020 35 50
  53. Jiang , W. , Li , H. , Liu , S. , Luo , X. et al. Poisoning and Evasion Attacks against Deep Learning Algorithms in Autonomous Vehicles IEEE Transactions on Vehicular Technology 69 4 2020 4439 4449
  54. Biggio , B. , Corona , I. , Maiorca , D. , Nelson , B. et al. Evasion Attacks against Machine Learning at Test Time Blockeel , H. , Kersting , K. , Nijssen , S. , and Železný , F. Joint European Conference on Machine Learning and Knowledge Discovery in Databases Berlin Springer 2013 387 402
  55. Gil , Y. , Chai , Y. , Gorodissky , O. , and Berant , J. 2019
  56. Meng , L. , Lin , C.-T. , Jung , T.-P. , and Wu , D. White-Box Target Attack for EEG-Based BCI Regression Problems Gedeon , T. , Wong , K. , and Lee , M. International Conference on Neural Information Processing Cham Springer 2019 476 488
  57. Sun , L. , Tan , M. , and Zhou , Z. A Survey of Practical Adversarial Example Attacks Cybersecurity 1 1 2018 1 9
  58. Chakraborty , A. , Alam , M. , Dey , V. , Chattopadhyay , A. et al. 2018
  59. Wang , Q. , Liu , H. , Xie , G. , and Zhang , Y. Image Denoising Using an Improved Generative Adversarial Network with Wasserstein Distance 2021 40th Chinese Control Conference (CCC) Shanghai, China 2021 7027 7032
  60. Goodfellow , I.J. , Shlens , J. , and Szegedy , C. 2014
  61. Mani , N. , Moh , M. Moh , T.-S. Towards Robust Ensemble Defense against Adversarial Examples Attack 2019 IEEE Global Communications Conference (GLOBECOM) Waikoloa, HI 2019 1 6
  62. Belhocine , A. , Shinde , D. , and Patil , R. Thermo-Mechanical Coupled Analysis Based Design of Ventilated Brake Disc Using Genetic Algorithm and Particle Swarm Optimization JMST Advances 3 3 2021 41 54
  63. Hashemi , S.M. , Barati , S. , Talati , S. , and Noori , H. A Genetic Algorithm Approach to Optimal Placement of Switching and Protective Equipment on a Distribution Network Journal of Engineering and Applied Sciences 11 2016 1395 1400
  64. Kuitche , M. , Yañez-Badillo , H. , Botez , R. , and Hashemi , S. Stabilisation, Tracking and Disturbance Rejection Control Design for the UAS-S45 Bálaam The Aeronautical Journal 126 1303 2022 1474 1496
  65. Boughari , Y. , Ghazi , G. , Botez , R.M. , and Theel , F. New Methodology for Optimal Flight Control Using Differential Evolution Algorithms Applied on the Cessna Citation X Business Aircraft—Part 1. Design and Optimization INCAS Bulletin 9 2 2017 31
  66. Boughari , Y. , Ghazi , G. , Botez , R.M. , and Theel , F. New Methodology for Optimal Flight Control using Differential Evolution Algorithms applied on the Cessna Citation X Business Aircraft—Part 2. Validation on Aircraft Research Flight Level D Simulator INCAS Bulletin 9 2 2017 45

Cited By