Research Output
Low-gain integral control for a class of discrete-time Lur'e systems with applications to sampled-data control
  We study low-gain (P)roportional (I)ntegral control of multivariate discrete-time, forced Lur’e systems to solve the output-tracking problem for constant reference signals. We formulate an incremental sector condition which is sufficient for a usual linear low-gain PI controller to achieve exponential disturbance-to-state and disturbance-to-tracking-error stability in closed-loop, for all sufficiently small integrator gains. Output tracking is achieved in the absence of exogenous disturbance (noise) terms. Our line of argument invokes a recent circle criterion for exponential incremental input-to-state stability. The discrete-time theory facilitates a similar result for a continuous-time forced Lur’e system in feedback with sampled-data low-gain integral control. The theory is illustrated by two examples.

  • Type:

    Article

  • Date:

    22 November 2022

  • Publication Status:

    In Press

  • DOI:

    10.1002/rnc.6455

  • ISSN:

    1049-8923

  • Funders:

    National Science Foundation; Engineering and Physical Sciences Research Council

Citation

Guiver, C., Rebarber, R., & Townley, S. (in press). Low-gain integral control for a class of discrete-time Lur'e systems with applications to sampled-data control. International Journal of Robust and Nonlinear Control, https://doi.org/10.1002/rnc.6455

Authors

Keywords

discrete-time, input-to-state stability, low-gain integral control, Lur’e systems, sampled-data control

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