Aircraft longitudinal stability and control derivatives identification by using life cycle and Levenberg–Marquardt optimization algorithms

References

• Jategaonkar, R, 2006. Flight Vehicle System Identification: A Time Domain Methodology. Reston, Virginia, USA: American Institute of Aeronautics and Astronautics; 2006.
   Google Scholar
• Jategaonkar, R, Fischenberger, D, and von Gruenhagen, W, 2003. "Aerodynamic modeling and system identification from flight data". In: Recent Application at DLR. In 2nd CTA/DLR Workshop on Data Analysis and Flight Control, São José dos Campos. Brazil. 2003.
   Google Scholar
• Bryan, GH, 1911. Stability in Aviation. London: McMillan; 1911.
   Google Scholar
• Glauert, H, 1919. Analysis of phugoids obtained by a recording airspeed indicator (1919), A.R.C. R&M 576.
   Google Scholar
• Norton, FH, 1923. A study of longitudinal dynamic stability in flight (1923), NACA Report 170.
   Google Scholar
• Miliken, WF, 1947. Progress in dynamic stability and control research, J. Aeronaut. Sci. 14 (9) (1947), pp. 493–519.
   Web of Science ®Google Scholar
• Seamans, RC, Blasingame, BP, and Clementson, GC, 1950. The pulse method for the determination of aircraft dynamic performance, J. Aeronaut. Sci. 17 (1) (1950), pp. 22–38.
   Web of Science ®Google Scholar
• Shinbrot, M, 1951. A least-squares curve fitting method with applications to the calculation of stability coefficients from transient response data (1951), NACA TN 2341.
   Google Scholar
• Miliken, WF, 1951. Dynamic stability and control research. Presented at Proceedings of the 3rd Anglo-American Aeronautical Conference.
   Google Scholar
• Greenberg, H, 1951. A survey of methods for determining stability parameters of an airplane from dynamical flight measurements (1951), NACA TN-2340.
   Google Scholar
• Astrom, KJ, and Bohlin, T, 1965. "Numerical identification of linear dynamic systems from normal operating records". In: Proceedings of the 2nd IFAC Symposium on Theory of Self-Adaptive Control Systems. England. 1965.
   Google Scholar
• Goodwin, GC, and Payne, RL, 1977. Dynamic System Identification – Experiment Design and Data Analysis. New York, USA: Academic Press; 1977.
   Google Scholar
• Nelles, O, 2001. Nonlinear System Identification: from Classical Approaches to Neural Networks and Fuzzy Models. New York: Springer-Verlag; 2001.
   Google Scholar
• Krink, T, and Løvberg, M, 2002. The lifecycle model: combining particle swarm optimisation, genetic algorithms and Hill-Climbers, 7th International Conference on Parallel Problem Solving from Nature (2002).
   Google Scholar
• Iliff, KW, 1989. Parameter Estimation for flight vehicles, J. Guidance, Contr. Dyn. 12 (5) (1989), pp. 609–622.
   Web of Science ®Google Scholar
• Ilif, KW, and Taylor, LW, 1972. Determination of stability derivatives from flight data using a Newton–Raphson minimization technique (1972), Technical Report D-6579, NASA.
   Google Scholar
• Maine, RE, and Iliff, KW, 1985. Identification of dynamic systems, theory and formulation (1985), Technical Report 1138, NASA.
   Google Scholar
• 2006. Wikipedia, Honeybee life cycle – Wikipedia, the free encyclopedia (2006), [Online; accessed 25 April 2006.].
   Google Scholar
• Assis, EG, and Steffen, V, 2003. Inverse problem techniques for the identification of rotor-bearing systems, Inverse Probl. Eng. 11 (1) (2003), pp. 39–53.
   Web of Science ®Google Scholar
• Rojas, JE, Viana, FAC, Rade, DA, and Steffen Jr, V, 2004. Identification of external loads in mechanical systems through heuristic-based optimization methods and dynamic responses, Latin Am. J. Solids Struct. 1 (3) (2004), pp. 297–318.
   Google Scholar
• Haupt, RL, and Haupt, SE, 2004. Pratical Genetic Algorithms. New York: Wiley-Interscience Publication; 2004.
   Google Scholar
• Michalewicz, Z, and Fogel, DB, 2000. How to Solve it: Modern Heuristics. New York: Springer-Verlag Inc.; 2000.
   Google Scholar
• Kennedy, J, and Eberhart, RC, 1995. Particle swarm optimization. Perth, Australia: 1995 IEEE International Conference on Neural Networks; 1995. pp. 1942–1948.
   Google Scholar
• Venter, G, and Sobieszczanski-Sobieski, J, 2002. "Particle swarm optimization". In: 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Denver, USA. 2002.
   Google Scholar