OCSYSYAPFeb 28, 2017

Sampled-Data Boundary Feedback Control of 1-D Hyperbolic PDEs with Non-Local Terms

arXiv:1702.086612 citationsh-index: 112
Originality Incremental advance
AI Analysis

Provides theoretical guarantees for sampled-data control of hyperbolic PDEs, addressing a gap in control theory for non-local terms.

This paper proves that boundary feedback control with Zero-Order-Hold sampling stabilizes 1-D hyperbolic PDEs with non-local terms, achieving exponential stability with arbitrarily fast convergence rate as sampling period decreases, unlike parabolic systems.

The paper provides results for the application of boundary feedback control with Zero-Order-Hold (ZOH) to 1-D linear, first-order, hyperbolic systems with non-local terms on bounded domains. It is shown that the emulation design based on the recently proposed continuous-time, boundary feedback, designed by means of backstepping, guarantees closed-loop exponential stability, provided that the sampling period is sufficiently small. It is also shown that, contrary to the parabolic case, a smaller sampling period implies a faster convergence rate with no upper bound for the achieved convergence rate. The obtained results provide stability estimates for the sup-norm of the state and robustness with respect to perturbations of the sampling schedule is guaranteed.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes