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Tracking problem under bounded disturbances: algebraic synthesis method. (English. Russian original) Zbl 1509.49020

Autom. Remote Control 83, No. 11, 1758-1772 (2022); translation from Avtom. Telemekh. 2022, No. 11, 103-120 (2022).
Summary: We consider the problem of a zero-sum differential tracking game with a quadratic performance functional in which the plant subjected to uncontrolled disturbances is described by a nonlinear ordinary differential equation. The synthesis of optimal controls is known to necessitate online solving a scalar Bellman-Isaacs partial differential equation that contains information about the trajectory of the process to be monitored. The lack of information about this process over the entire control interval makes the synthesized controls unimplementable. An algebraic method is proposed for solving the Bellman-Isaacs equation, which contains the current value of the monitored process. As an illustration of the results obtained, we give the simulation of the behavior of a nonlinear system with two players with an open control horizon.

MSC:

49N70 Differential games and control
49N35 Optimal feedback synthesis
91A23 Differential games (aspects of game theory)
91A05 2-person games
Full Text: DOI

References:

[1] Isaacs, R., Differential Games (1965), New York-London-Sydney: John Wiley and Sons, New York-London-Sydney · Zbl 0125.38001
[2] Isaacs, R.P., Games of pursuit, Paper P-257, Santa Monica, California: RAND Corp., 1951.
[3] Pontryagin, L.S., On linear differential games. 1, Dokl. Akad. Nauk SSSR, 1967, vol. 174, no. 6, pp. 1278-1280. · Zbl 0157.16304
[4] Pontryagin, L.S., On linear differential games. 2, Dokl. Akad. Nauk SSSR, 1967, vol. 175, no. 4, pp. 764-766. · Zbl 0157.16401
[5] Mishchenko, E. F., On certain game problems in pursuit and evasion, Autom. Remote Control, 33, 9, 1424-1429 (1972) · Zbl 0254.90070
[6] Pshenichnyi, B. N., Neobkhodimye usloviya ekstremuma (Necessary Extremum Conditions) (1969), Moscow: Nauka, Moscow
[7] Krasovskii, N. N.; Subbotin, A. I., Pozitsionnye differentsial’nye igry (Positional Differential Games) (1974), Moscow: Nauka, Moscow · Zbl 0298.90067
[8] Bryson, А.Е. and Yu-Chi Ho, Applied Optimal Control. Optimization, Estimation and Control, Waltham, MA-Toronto-London, 1969.
[9] Angel, E.; Bellman, R., Dynamic Programming and Partial Differential Equations (1972), New York-London: Academic Press, New York-London · Zbl 0312.49011
[10] Kalman, R.E., The theory of optimal control and calculus of variations, in Mathematical Optimization Techniques, Bellman, R., Ed., Berkley, CA: Univ.California. 1963.
[11] Afanas’ev, V. N., Matematicheskaya teoriya upravleniya nelineinymi nepreryvnymi dinamicheskimi sistemami (Mathematical Theory of Control of Nonlinear Continuous Dynamical Systems) (2021), Moscow: KRASNAND, Moscow
[12] Buratto, A.; Cesaretto, R.; Zamarchi, R., HIV vs. the immune system: A differential game, Mathematics, 3, 4, 1139-1170 (2015) · Zbl 1330.49038 · doi:10.3390/math3041139
[13] Bratus’, A. S.; Novozhilov, A. S.; Platonov, A. P., Dinamicheskie sistemy i modeli biologii (Dynamic Systems and Models of Biology) (2010), Moscow: Fizmatlit, Moscow
[14] Trubetskov, D. I., Phenomenon of Lotka-Volterra mathematical model and similar models, Izv. Vyssh. Uchebn. Zaved. Prikl. Nelineinaya Din., 19, 2, 69-88 (2011)
[15] Vasil’ev, F. P., Metody optimizatsii. T. 2 (Optimization Problems. Vol. 2) (2011), Moscow: MTsNMO, Moscow
[16] Galeev, E.M., Zelikin, M.Yu., Konyagin, S.V., et al., Optimal’noe upravlenie (Optimal Control), Osmolovskii, N.P. and Tikhomirov, V.M., Eds., Moscow: MTsNMO, 2008.
[17] Egorov, A. I., Uravneniya Rikkati (Riccati Equations) (2001), Moscow: Fizmatlit, Moscow · Zbl 1094.34501
[18] Winternitz, P., Lie groups and solutions of nonlinear partial differential equations, Lect. Notes Phys., 189, 263-331 (1983) · Zbl 0571.34002 · doi:10.1007/3-540-12730-5_12
[19] Liu, R.W. and Leake, J., Inverse Lyapunov problems, Tech. Rep. no. EE6510, Dep. Electr. Eng., Univ. Notre Dame, August 1965.
[20] Sain, M.K., Won, C.-H., Spencer, B.F., Jr., and Liberty, S.R., Cumulants and risk-sensitive control: A cost mean and variance theory with application to seismic protection of structures, Adv. Dyn. Games Appl. Ann. Int. Soc. Dyn. Games, Boston: Birkhäuser, 2000, vol. 5, pp. 427-459. · Zbl 1021.91034
[21] Won Chang-Hee and Biswas Saroj, Optimal Control Using Algebraic Method for Control—Affine Nonlinear Systems, Temple Univ., USA, cwon@temple.edu, sbiswas@temple.edu, April 20, 2007.
[22] Albert, A., Regression and the Moor-Penrose Pseudoinverse (1972), New York-London: Academic Press, New York-London · Zbl 0253.62030
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