What is it about?
In many real world control systems, actuators are a source of time-delay which can cause poor performance of the system. On the other hand, there are many systems that stochastic events have significant impact on their performance. We have introduced a way to compensate the input time-delay for a stochastic system. To show the effectiveness of our method, we have applied it to a stochastic model of an active suspension system with actuator delay.
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Why is it important?
Since we use memory (prediction-based) control, it doesn't matter how long the time-delay is. In other words, as long as the assumptions are not violated, our findings are true for any application including active suspension system.
Perspectives
This article is a part of my findings as a Ph.D. student at Iran University of Science and Technology. I hope, one day someone apply these findings on a real world application such as active suspension system.
Ali Javadi
Iran University of Science and Technology
Read the Original
This page is a summary of: Predictor Feedback Stabilization of Stochastic Linear Delayed Systems with Both Additive and Multiplicative Noises, Asian Journal of Control, October 2017, Wiley,
DOI: 10.1002/asjc.1657.
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