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Universal Lyapunov-type fuzzy controllers

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Abstract

A new strategy for stabilization of one-dimensional dynamic objects with a priori unknown mathematical model is presented. For a given control law, the stabilization strategy consists in determination of the times when the control law changes and its reversal at these times, on the basis of a fuzzy knowledge base that takes into account the nature of the variation of the “distance” relative to an equilibrium point. The derivatives of the “distance” and such concepts as “approach” and “departure” are also used. Aggregation of the input phase variables and the use of generalized concepts of the theory of Lyapunov stability make it possible to construct a sufficiently general and, at the same time, simple fuzzy regulator with two aggregated inputs and piecewise-continuous output signals.

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References

  1. Krasovskii, A.A., Ed., Spravochnik po teorii avtomaticheskogo upravleniya (Handbook on the Theory of Optimal Control), Moscow: Nauka, 1987, pp. 401–435.

    Google Scholar 

  2. Wu, Q., Sepehri, N., and Thornton-Trump, A.B., Lyapunov Stability of an Inverted Pendulum Model (ISIAC 017.1-5), Albuquerque: TSI Press, 1998.

    Google Scholar 

  3. Kim, A.V., Pimenov, V.G., and Kwon, O.B., Lyapunov-Krasovskii Functional Instability and Control Problems of Time-Delay Systems (ISIAC 029.1-5), Albuquerque: TSI Press, 1998.

    Google Scholar 

  4. Yong, Y., Robust Observer-Regulator Design for Nonlinear Systems with Uncertainty (ISIAC 015.1-6), Albuquerque: TSI Press, 1998.

    Google Scholar 

  5. Kolomeytseva, M.B. and Kho, L.D., Synthesis of an Optimal Fuzzy Regulator for a Nonlinear Dynamic System, Tr. Zaporozh. National. Univ. Radiotekhnika, informatika, upravlenie, 2001, no. 2, pp. 153–155.

  6. Ho, H.F., Wong, Y.K., and Rad, A.B., Adaptive Fuzzy Sliding Mode Control Design; Lyapunov Approach, in IEEE Intern. Conf. Fuzzy Systems, 2001.

  7. Lagrat, I., Ouakka, H., and Boumhidi, I., Fuzzy Sliding Mode PI Regulator for Nonlinear Systems, Proc. 6th WSEAS Intern. Conf. Simulation, Modeling and Optimization, Lisbon, September 22–24, 2006, p. 534–539.

  8. Rustamov, G.A., Namazov, M.B., and Misrikhanov, L.M., Synthesis of a Relay Regulator with Fuzzy Switching Times on the Basis of a Macrovariable, Avtom. Vychisl. Tekh. (Riga), 2007, no. 3, pp. 56–62 [Autom. Control Comput. Sci. (Engl. Transl.), no. 3].

  9. Rustamov, G.A. and Namazov, M.B., Approach to the Synthesis of Fuzzy Stabilization Systems with a priori Unknown Model of the Object, Avtom. Vychisl. Tekh. (Riga), 2007, no. 5, pp. 32–39 [Autom. Control Comput. Sci. (Engl. Transl.), no. 5].

  10. Shtoba, S.D., Proektirovanie nechetkikh sistem sredstvami Matlab (Design of Fuzzy Systems by means of Matlab), Moscow: Goryachaya liniya. Telecom, 2007.

    Google Scholar 

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Correspondence to G. A. Rustamov.

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Original Russian Text © G.A. Rustamov, 2008, published in Avtomatika i Vychislitel’naya Tekhnika, 2008, No. 2, pp. 65–73.

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Rustamov, G.A. Universal Lyapunov-type fuzzy controllers. Aut. Conrol Comp. Sci. 42, 102–108 (2008). https://doi.org/10.3103/S0146411608020089

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  • DOI: https://doi.org/10.3103/S0146411608020089

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