Output feedback stabilization for heat equations with sampled-data controls
Hanbing Liu, Pin Lin, Gengsheng Wang

TL;DR
This paper develops an explicit output feedback law for stabilizing heat equations with sampled-data controls, allowing flexible sampling periods and based on new controllability and observability results.
Contribution
It introduces a novel feedback law for heat equations with sampled-data control, with explicit dependence on sampling period and new controllability inequalities.
Findings
Feedback law is explicit and adaptable to any sampling period.
Stability behavior is well-understood as sampling period varies.
New observability inequality for heat equations was established.
Abstract
In this paper, we build up an output feedback law to stabilize a sampled-data controlled heat equation (with a potential) in a bounded domain . The feedback law abides the following rules: First, we divide equally the time interval into infinitely many disjoint time periods, and divide each time period into three disjoint subintervals. Second, for each time period, we observe a solution over an open subset of in the first subinterval, take sample from outputs at one time point of the first subinterval, add a time-invariant output feedback control over another open subset of in the second subinterval; let the equation evolve free in the last subinterval. Thus, the corresponding feedback control is of sampled-data. Our feedback law has the following advantages: the sampling period (which is the length of the above time period) can be arbitrarily…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering · Numerical methods for differential equations
