Sparsity Methods for Networked Control
Masaaki Nagahara

TL;DR
This paper introduces sparsity techniques for networked control systems, demonstrating that sparse control via recent optimization methods effectively addresses data transmission challenges, improving stability and performance.
Contribution
It presents a novel application of sparse optimization methods to networked control, enhancing data efficiency and system robustness.
Findings
Sparse control improves data transmission efficiency.
Sparse optimization enhances system stability.
Effective control with reduced communication load.
Abstract
In this presentation, we introduce sparsity methods for networked control systems and show the effectiveness of sparse control. In networked control, efficient data transmission is important since transmission delay and error can critically deteriorate the stability and performance. We will show that this problem is solved by sparse control designed by recent sparse optimization methods.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Advanced Adaptive Filtering Techniques · Stability and Control of Uncertain Systems
