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(2023)

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Abstract
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.
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Key words
discrete-time,input-to-state stability,low-gain integral control,Lur'e systems,sampled-data control
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