Skip to main content

On Control Synthesis for Uncertain Differential Systems Using a Polyhedral Technique

  • Conference paper
  • First Online:
Large-Scale Scientific Computing (LSSC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8353))

Included in the following conference series:

Abstract

Problems of feedback terminal target control for linear uncertain systems are considered. We continue the development of polyhedral control synthesis using polyhedral (parallelotope-valued) solvability tubes. New control strategies, which can be calculated on the base of these tubes, are proposed. The cases without uncertainties, with additive parallelotope-valued uncertainties, and also with a bilinear uncertainty (interval uncertainties in coefficients of the system) are considered. Ordinary differential equations, which describe the mentioned tubes, are presented for each of these cases. Numerical results are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    The normality condition \(\Vert p^i \Vert _2 = 1\) may be omitted to simplify formulas.

  2. 2.

    Here the class \(U^c_\mathcal{R}\) of feasible control strategies is taken to consist of all convex compact-valued multifunctions \(\mathcal{U}(t,x)\) that are measurable in \(t\), upper semi-continuous in \(x\), being restricted by \(\mathcal{U}(t, x) \subseteq \mathcal{R}(t)\), \(t \in T\). The condition \(\mathcal{U}(\cdot , \cdot ) \in U^c_\mathcal{R}\) ensures that the corresponding differential inclusion does have a solution.

  3. 3.

    This is possible because our strategies will be continuous and even linear with respect to \(x\). Moreover, they will be constructed in an explicit form.

References

  1. Anan’evskii, I.M., Anokhin, N.V., Ovseevich, A.I.: Synthesis of a bounded control for linear dynamical systems using the general Lyapunov function. Dokl. Math. 82(2), 831–834 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  2. Baier, R., Lempio, F.: Computing Aumann’s integral. In: Kurzhanski, A.B., Veliov, V.M. (eds.) Modeling Techniques for Uncertain Systems (Sopron, 1992). Progress in Systems and Control Theory, vol. 18, pp. 71–92. Birkhäuser, Boston (1994)

    Google Scholar 

  3. Chernousko, F.L.: State Estimation for Dynamic Systems. CRS Press, Boca Raton (1994)

    Google Scholar 

  4. Dimitrova, N., Krastanov, M.: Nonlinear adaptive control of a bioprocess model with unknown kinetics. In: Rauh, A., Auer, E. (eds.) Modeling, Design, and Simulation of Systems with Uncertainties (Mathematical Engineering), pp. 275–292. Springer, Berlin (2011)

    Chapter  Google Scholar 

  5. Filippova, T.F.: Trajectory tubes of nonlinear differential inclusions and state estimation problems. J. Concr. Appl. Math. 8(3), 454–469 (2010)

    MATH  MathSciNet  Google Scholar 

  6. Gusev, M.I.: External Estimates of the Reachability Sets of Nonlinear Controlled Systems. Autom. Rem. Contr. 73(3), 450–461 (2012)

    Article  Google Scholar 

  7. Kostousova, E.K.: Control synthesis via parallelotopes: optimization and parallel computations. Optim. Methods Softw. 14(4), 267–310 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  8. Kostousova, E.K.: On Polyhedral Estimates for Reachable Sets of Differential Systems with Bilinear Uncertainty. (Russian). Trudy Instituta Matematiki i Mekhaniki UrO RAN 18(4), 195–210 (2012)

    Google Scholar 

  9. Kostousova, E.K.: On tight polyhedral estimates for reachable sets of linear differential systems. AIP Conf. Proc. 1493, 579–586 (2012). http://dx.doi.org/10.1063/1.4765545

  10. Krasovskii, N.N., Subbotin, A.I.: Positional Differential Games. Nauka, Moscow (1974). (Russian)

    MATH  Google Scholar 

  11. Kuntsevich, V.M., Kurzhanski, A.B.: Calculation and control of attainability sets for linear and certain classes of nonlinear discrete systems. J. Autom. Inform. Sci. 42(1), 1–18 (2010)

    Article  Google Scholar 

  12. Kurzhanskii, A.B., Mel’nikov, N.B.: On the problem of the synthesis of controls: the Pontryagin alternative integral and the Hamilton-Jacobi equation. Sb. Math. 191(5–6), 849–881 (2000)

    Article  MathSciNet  Google Scholar 

  13. Kurzhanski, A.B., Nikonov, O.I.: On the problem of synthesizing control strategies. Evolution equations and set-valued integration. Sov. Math. Dokl. 41(2), 300–305 (1990)

    Google Scholar 

  14. Kurzhanski, A.B., Vályi, I.: Ellipsoidal Calculus for Estimation and Control. Birkhäuser, Boston (1997)

    Book  MATH  Google Scholar 

  15. Kurzhanski, A.B., Varaiya, P.: On ellipsoidal techniques for reachability analysis. Part I: External approximations. Part II: Internal approximations. Box-valued constraints. Optim. Meth. Softw. 17(2), 177–237 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  16. Polyak, B.T., Scherbakov, P.S.: Robust Stability and Control. Nauka, Moscow (2002). (Russian)

    Google Scholar 

  17. Taras’yev, A.M., Uspenskiy, A.A., Ushakov, V.N.: Approximation schemas and finite-difference operators for constructing generalized solutions of Hamilton-Jacobi equations. J. Comput. Syst. Sci. Int. 33(6), 127–139 (1995)

    MathSciNet  Google Scholar 

  18. Veliov, V.M.: Second order discrete approximations to strongly convex differential inclusions. Syst. Contr. Lett. 13(3), 263–269 (1989)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgments

The research was supported by the Program of the Presidium of the Russian Academy of Sciences “Dynamic Systems and Control Theory” under support of the Ural Branch of RAS (Project 12-P-1-1019) and by the Russian Foundation for Basic Research (Grants 12-01-00043,13-01-90419).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elena K. Kostousova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kostousova, E.K. (2014). On Control Synthesis for Uncertain Differential Systems Using a Polyhedral Technique. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2013. Lecture Notes in Computer Science(), vol 8353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43880-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-43880-0_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43879-4

  • Online ISBN: 978-3-662-43880-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics