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Adaptive regulation: Lyapunov design with a growth condition. (English) Zbl 0769.93068

Summary: We propose a new Lyapunov design of an adaptive regulator under some restriction on the dependence of a Lyapunov function on the parameters. This restriction has been introduced by Praly et al. Its interest is to involve only a Lyapunov function and not explicitly the system nonlinearities. We show it is satisfied by strict pure feedback systems with polynomial growth nonlinearities and some other non-feedback linearizable systems. Our new Lyapunov design leads to an adaptive regulator where the adapted parameter vector is transformed before being used in the control law; namely, the so-called certainty equivalence principle is not applied. Unfortunately, the implementation of this regulator needs the explicit solution of a fixed point problem, so in a second stage we propose a more practical solution obtained by replacing the fixed point static equation by a dynamical system with this fixed point as equilibrium.

MSC:

93D21 Adaptive or robust stabilization
93D05 Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory
Full Text: DOI

References:

[1] and , Adaptive Filtering, Prediction and Control, Information and Systems Sciences Series, Prentice-Hall, Englewood Cliffs, NJ, 1984.
[2] and , Stable Adaptive Systems, Information and Systems Sciences Series, Prentice-Hall, Englewood Cliffs, NJ, 1989.
[3] and , Adaptive Control: Stability, Convergence and Robustness, Advanced Reference Series, Prentice-Hall, Englewood Cliffs, NJ, 1989.
[4] , and , ”Adaptive stabilization of nonlinear systems”, in Foundations of Adaptive Control, Springer, Berlin, 1991, pp. 347–433. · Zbl 0787.93083
[5] Taylor, IEEE Trans. Automatic Control AC-34 pp 405– (1989)
[6] , and , ”Robustness of adaptive nonlinear control under an extended matching condition”, Proc. IFAC Symp. on Nonlinear System Design, pp. 192–197, Pergamon, Capri, pp. 192–197, 1989.
[7] Campion, Int. j. adapt. control signal process. 4 pp 345– (1990)
[8] Kanellakopoulos, IEEE Trans. Automatic Control AC-36 pp 1241– (1991)
[9] and , ”Iterative designs of adaptive controllers for systems with nonlinear integrators”, Proc. 30th IEEE Conf. on Decision and Control, pp. 2482–2487, December 1991, IEEE, New York, 1991, pp. 2482–2487.
[10] Krstic, Syst. Control Lett.
[11] Nam, IEEE Trans. Automatic Control AC-33 pp 803– (1988)
[12] Sastry, IEEE Trans. Automatic Control AC-34 pp 1123– (1989)
[13] and , ”Adaptive non-linear control: an estimation-based algorithm”, in , , and (eds), New Trends in Nonlinear Control Theory, Springer, 1989, pp. 353–366.
[14] Pomet, IEEE Trans. Automatic Control AC-37 pp 729– (1992)
[15] Nonlinear Systems Analysis, Network Series, Prentice-Hall, Englewood Cliffs, NJ, 1978.
[16] Tsinias, Math. Control Signals Syst. 2 pp 343– (1989)
[17] , and , ’Lyapunov design of stabilizing controllers for cascaded systems’, IEEE Trans. Automatic Control, AC-36, (1991).
[18] Parks, IEEE Trans. Automatic Control AC-11 pp 362– (1966)
[19] Artstein, Nonlinear Anal. TMA 7 pp 1163– (1983)
[20] Sontag, Syst. Control Lett. 13 pp 117– (1989)
[21] Ordinary Differential Equations, Krieger, Malabar, 1980.
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