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34 1. THE MODELING PROBLEM FOR CONTROLLED MOTION OF NONLINEAR DYNAMICAL SYSTEMS

[32] Cook MV. Flight dynamics principles. Amsterdam: El- [46] Sastry S, Bodson M. Adaptive control: Stability, conver-
sevier; 2007. gence, and robustness. Englewood Cliffs, NJ: Prentice
[33] Hull DG. Fundamentals of airplane flight mechanics. Hall; 1989.
Berlin: Springer; 2007. [47] Spooner JT, Maggiore M, Ordóñez R, Passino KM. Sta-
[34] Stevens BL, Lewis FL, Johnson E. Aircraft control and ble adaptive control and estimation for nonlinear sys-
simulation: Dynamics, control design, and autonomous tems: Neural and fuzzy approximator techniques. New
systems. 3rd ed. Hoboken, New Jersey: John Wiley & York, NY: John Wiley & Sons, Inc.; 2002.
Sons, Inc.; 2016. [48] Tao G. Adaptive control design and analysis. New York,
[35] Rastrigin LA. Adaptation of complex systems: Methods NY: John Wiley & Sons, Inc.; 2003.
and applications. Riga: Zinatne; 1981 (in Russian). [49] Widrow B, Walach E. Adaptive inverse control: A signal
[36] Ilyin VE. Fighter aircraft. Moscow: Victoria-AST; 1997 processing approach. Hoboken, New Jersey: John Wiley
(in Russian). & Sons, Inc.; 2008.
[37] Gordon Y. Mikoyan MiG-31. Famous Russian aircraft. [50] Farrell JA, Polycarpou MM. Adaptive approximation
Hinckley, England: Midland Publishing; 2005. based control: Unifying neural, fuzzy and traditional
[38] Nise NS. Control systems engineering. 6th ed. New adaptive approximation approaches. Hoboken, New
York, NY: John Wiley & Sons; 2011. Jersey: John Wiley & Sons, Inc.; 2006.
[39] Coughanowr DR, LeBlank SE. Process systems analysis [51] French M, Szepesváry C, Rogers E. Performance of
and control. 3rd ed. New York, NY: McGraw-Hill; 2009. nonlinear approximate adaptive controllers. Chichester,
[40] Astolfi A. Nonlinear and adaptive control: Tools and al- England: John Wiley & Sons, Inc.; 2003.
gorithms for the user. London: Imperial College Press; [52] Hovakimyan N, Cao C. L 1 adaptive control theory:
2006. Guaranteed robustness with fast adaptation. Philadel-
[41] Astolfi A, Karagiannis D, Ortega R. Nonlinear and phia, PA: SIAM; 2010.
adaptive control with applications. Berlin: Springer; [53] Lavretsky E, Wise KA. Robust and adaptive control
2008. with aerospace applications. London: Springer-Verlag;
[42] Gros C. Complex and adaptive dynamical systems: A 2013.
primer. Berlin: Springer; 2008. [54] Tyukin I. Adaptation in dynamical systems. Cambridge:
[43] Ioannou P, Fidan B. Adaptive control tutorial. Philadel- Cambridge University Press; 2007.
phia, PA: SIAM; 2006. [55] Davidson J, et al. Flight control laws for NASA’s Hyper-
[44] Ioannou P, Sun J. Robust adaptive control. Englewood X research vehicle. AIAA–99–4124, 11.
Cliffs, NJ: Prentice Hall; 1995. [56] Brusov VS, Tiumentsev YuV. Neural network modeling
[45] Ioannou P, Sun J. Optimal, predictive, and adaptive con- of aircraft motion. Moscow: MAI; 2016 (in Russian).
trol. Englewood Cliffs, NJ: Prentice Hall; 1994.