Actuator and sensor placement in linear advection PDE with building system applications
Umesh Vaidya, Rajeev Rajaram, and Sambarta Dasgupta

TL;DR
This paper develops a gramian-based method for optimal actuator and sensor placement in linear advection PDEs, with applications to building systems for temperature and contaminant control, exploiting the PDE's structure for explicit formulas.
Contribution
It introduces an explicit gramian formula for actuator and sensor placement in advection PDEs, leveraging flow properties for improved placement strategies.
Findings
Explicit gramian formulas for placement criteria
Flow stability influences sensor and actuator locations
Simulation validates theoretical placement strategies
Abstract
We study the problem of actuator and sensor placement in a linear advection partial differential equation (PDE). The problem is motivated by its application to actuator and sensor placement in building systems for the control and detection of a scalar quantity such as temperature and contaminants. We propose a gramian based approach to the problem of actuator and sensor placement. The special structure of the advection PDE is exploited to provide an explicit formula for the controllability and observability gramian in the form of a multiplication operator. The explicit formula for the gramian, as a function of actuator and sensor location, is used to provide test criteria for the suitability of a given sensor and actuator location. Furthermore, the solution obtained using gramian based criteria is interpreted in terms of the flow of the advective vector field. In particular, the almost…
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Fractional Differential Equations Solutions
