Optimal sensor and actuator selection : algorithms and performance guarantees

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Authors
Romero, Orlando
Issue Date
2020-08
Type
Electronic thesis
Thesis
Language
ENG
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Industrial and management engineering
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Abstract
This work explores the class of problems in the optimal design of (possibly large-scale) dynamical systems henceforth known as (optimal) sensor and actuator selection. In particular, it aims to create the mathematical tools towards a framework to systematically address this large class of problems, or important subclasses therein. More precisely, first we consider some time-varying process (engineered or otherwise) assumed to adhere to some structure that allows mathematical models to properly describe the system's evolution. Such a time-varying process constitutes what will be formalized as a dynamical system. The problems we explore are then posed as how to select, place, or schedule sensors and actuators in the system in a way that optimizes some performance criterion subject to pertinent selection constraints.
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August 2020
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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