Optimal Sensor and Actuator Selection Using Balanced Model Reduction

Optimal sensor and actuator selection is a central challenge in high-dimensional estimation and control. Nearly all subsequent control decisions are affected by these sensor and actuator locations. In this article, we exploit balanced model reduction and greedy optimization to efficiently determine...

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Veröffentlicht in:	IEEE transactions on automatic control 2022-04, Vol.67 (4), p.2108-2115
Hauptverfasser:	Manohar, Krithika, Kutz, J. Nathan, Brunton, Steven L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuator selection Actuators Algorithms balanced truncation Controllability Energy measurement Measurement Model reduction Observability Observability (systems) optimal control Optimization Reduced order systems sensor selection Sensors
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