OCSYSYJan 8, 2017

Sampled-Data Boundary Feedback Control of 1-D Parabolic PDEs

arXiv:1701.01955137 citationsh-index: 112
AI Analysis

For control theorists and engineers, this extends continuous-time boundary feedback results to sampled-data settings, but the approach is incremental as it relies on existing designs.

The paper proves that sampled-data boundary feedback control with Zero-Order-Hold can stabilize 1-D linear parabolic PDEs exponentially if the sampling period is small enough, and provides stability estimates for weighted 2-norms with robustness to sampling schedule perturbations.

The paper provides results for the application of boundary feedback control with Zero-Order-Hold (ZOH) to 1-D linear parabolic systems on bounded domains. It is shown that the continuous-time boundary feedback applied in a sample-and-hold fashion guarantees closed-loop exponential stability, provided that the sampling period is sufficiently small. Two different continuous-time feedback designs are considered: the reduced model design and the backstepping design. The obtained results provide stability estimates for weighted 2-norms of the state and robustness with respect to perturbations of the sampling schedule is guaranteed.

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