Abstract
A robust control scheme for an uncertain object without the need for measuring the derivatives of the adjusted variable (output of the controlled object) is designed such that the adjusted variable remains bounded and converges to a bounded invariant set under certain given assumptions on the object. The design is based on the well-known Morse approach, called the “high-order adaptation algorithm.” Unlike this algorithm, our robust control scheme is helpful in designing lower-order controllers. An example and results of a computer-aided modeling experiment are given to illustrate the performance of our control scheme.
Similar content being viewed by others
REFERENCES
Morse, A.S., High-Order Parameter Tuners for Adaptive Control of Nonlinear Systems, in Systems, Models and Feedback: Theory and Applications, Isidori, A. and Tarn, T.J., Eds., Boston: Birkhauser, 1992.
Nikiforov, V.O., Robust High-Order Tuner of Simplified Structure, Automatica, 1999, vol. 35, no.8, pp. 1409-1415.
Miroshnik, I.V., Nikiforov, V.O., and Fradkov, A.V., Nelineinoe i adaptivnoe upravlenie slozhnymi dinamicheskimi sistemami (Nonlinear and Adaptive Control for Complex Dynamic Systems), St. Petersburg: Nauka, 2000.
Nikiforov, V.O. and Fradkov, A.P., Adaptive Control Schemes with Extended Error, Avtom. Telemekh., 1994, no. 9, pp. 3-23.
Pervozvanskii, A.A., Kurs teorii avtomaticheskogo upravleniya (A Course in Automatic Control Theory), Moscow: Nauka, 1986.
Voronov, K.V., Koroleva, O.I., and Nikiforov, V.O., Robust Control of Nonlinear Objects with Functional Uncertainties, Avtom. Telemekh., 2001, no. 2, pp. 112-122.
Bobtsov, A.A. and Miroshnik, I.V., A Dynamic Adaptation Algorithm For Time-varying Systems, Avtom. Telemekh., 1999, no. 12, pp. 121-131.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Bobtsov, A.A. A Robust Control Algorithm for an Uncertain Object without Measurements of the Derivatives of the Adjusted Variable. Automation and Remote Control 64, 1275–1286 (2003). https://doi.org/10.1023/A:1025079316611
Issue Date:
DOI: https://doi.org/10.1023/A:1025079316611