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Time-Delay Estimation in State and Output Equations of Nonlinear Systems Using Optimal Computational Approach

Author

Listed:
  • Mohammad Ali Abooshahab

    (University of Isfahan)

  • Mohsen Ekramian

    (University of Isfahan)

  • Mohammad Ataei

    (University of Isfahan)

  • Ali Ebrahimpour-Boroojeny

    (Colorado State University)

Abstract

Many real-world dynamics can be modeled as nonlinear time-delay systems. In order to capture a more realistic model for system dynamics, the exact values of time-delay should be taken into account. For nonlinear time-delay systems, the estimation of delays in both state and output equations is discussed. A cost function is defined based on least-square error between actual and estimated values of the output measurement. The value of time-delays in the nonlinear system are then derived using a gradient-based optimization method. Because of the implicit description of the cost function with respect to the delay value, its gradients cannot be obtained by standard analytical differentiation rules. In this case, the optimal computational methods are utilized to derive two formulas for computing the gradient. An optimization scheme is then formulated to estimate both state and output delays. The effectiveness of the proposed estimation method is finally demonstrated using the simulation results on a benchmark chemical process.

Suggested Citation

  • Mohammad Ali Abooshahab & Mohsen Ekramian & Mohammad Ataei & Ali Ebrahimpour-Boroojeny, 2019. "Time-Delay Estimation in State and Output Equations of Nonlinear Systems Using Optimal Computational Approach," Journal of Optimization Theory and Applications, Springer, vol. 180(3), pages 1036-1064, March.
    • Handle: RePEc:spr:joptap:v:180:y:2019:i:3:d:10.1007_s10957-018-1410-6
    DOI: 10.1007/s10957-018-1410-6
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    References listed on IDEAS

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    1. B. Xu & J. Lam, 1999. "Decentralized Stabilization of Large-Scale Interconnected Time-Delay Systems," Journal of Optimization Theory and Applications, Springer, vol. 103(1), pages 231-240, October.
    2. J. B. Jian, 2006. "New Sequential Quadratically-Constrained Quadratic Programming Method of Feasible Directions and Its Convergence Rate," Journal of Optimization Theory and Applications, Springer, vol. 129(1), pages 109-130, April.
    3. Guanming Cheng & Lei Wang & Ryan Loxton & Qun Lin, 2015. "Robust Optimal Control of a Microbial Batch Culture Process," Journal of Optimization Theory and Applications, Springer, vol. 167(1), pages 342-362, October.
    4. Chongyang Liu & Ryan Loxton & Kok Lay Teo, 2014. "Switching Time and Parameter Optimization in Nonlinear Switched Systems with Multiple Time-Delays," Journal of Optimization Theory and Applications, Springer, vol. 163(3), pages 957-988, December.
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