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State Observation for Lipschitz Nonlinear Dynamical Systems Based on Lyapunov Functions and Functionals

Author

Listed:
  • Angelo Alessandri

    (DIME, University of Genoa, Via Opera Pia 15, 16145 Genoa, Italy)

  • Patrizia Bagnerini

    (DIME, University of Genoa, Via Opera Pia 15, 16145 Genoa, Italy)

  • Roberto Cianci

    (DIME, University of Genoa, Via Opera Pia 15, 16145 Genoa, Italy)

Abstract

State observers for systems having Lipschitz nonlinearities are considered for what concerns the stability of the estimation error by means of a decomposition of the dynamics of the error into the cascade of two systems. First, conditions are established in order to guarantee the asymptotic stability of the estimation error in a noise-free setting. Second, under the effect of system and measurement disturbances regarded as unknown inputs affecting the dynamics of the error, the proposed observers provide an estimation error that is input-to-state stable with respect to these disturbances. Lyapunov functions and functionals are adopted to prove such results. Third, simulations are shown to confirm the theoretical achievements and the effectiveness of the stability conditions we have established.

Suggested Citation

  • Angelo Alessandri & Patrizia Bagnerini & Roberto Cianci, 2020. "State Observation for Lipschitz Nonlinear Dynamical Systems Based on Lyapunov Functions and Functionals," Mathematics, MDPI, vol. 8(9), pages 1-11, August.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1424-:d:403716
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    References listed on IDEAS

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    1. A. Alessandri, 2020. "On Hamilton-Jacobi Approaches to State Reconstruction for Dynamic Systems," Advances in Mathematical Physics, Hindawi, vol. 2020, pages 1-13, February.
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