4.7 Article

Robust Tracking Error Feedback Control for a One-Dimensional Schrodinger Equation

期刊

IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 67, 期 3, 页码 1120-1134

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2021.3056599

关键词

Mathematical model; Feedback control; Regulation; Observers; Feedforward systems; Eigenvalues and eigenfunctions; Convergence; Internal model principle; output tracking; robust control; Schrodinger equation

资金

  1. National Natural Science Foundation of China [61873260]
  2. China Postdoctoral Science Foundation [2020M680919]

向作者/读者索取更多资源

This article investigates robust output tracking for a Schrodinger equation with external disturbances in all possible channels using an observer-based approach. By designing feedforward control and error feedback control, the problem of unbounded observation operator and noncollocated regulated output and control is addressed, achieving robustness to disturbances and system uncertainty. The stability of the closed loop and convergence are established through the Riesz basis approach, with numerical simulations presented to validate the results.
In this article, we consider robust output tracking for a Schrodinger equation with external disturbances in all possible channels. The challenge of the problem comes from the fact that the observation operator is unbounded and the regulated output and the control are noncollocated. An observer-based approach is adopted in investigation. We first select specially some coefficients of the disturbances to obtain a nominal system, which is a coupled PDE+ODE system. For this nominal system, we design a feedforward control by solving related regulator equation. An observer is then designed for the nominal system in terms of the tracking error only. As a result, an error feedback control is, thus, designed by replacing the state and disturbances in the feedforward control with their estimates obtained from the observer. We show that this observer based error feedback control is robust to disturbances in all possible channels and system uncertainty. The stability of the closed loop and convergence are established by the Riesz basis approach. Some numerical simulations are presented to validate the results.

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