Nov 22, 2017 · This article studies two problems related to observability and efficient constrained sensor placement in linear time-invariant discrete-time systems with ...

This article studies two problems related to observability and efficient constrained sensor placement in linear time-invariant discrete-time systems with ...

May 20, 2021 · ◦ We provide a greedy algorithm to obtain a (1 − 1/e)-approximate solution for the cardinality constrained sensor placement problem. This is the ...

To circumvent this issue, the Gramian-based approach has been generalized to handle nonlinear dynamical systems [14,17], unstable dynamics [18], infinite- ...

This study offers two novel selection algorithms, namely an approximate convex relaxation method with the Newton method and a gradient greedy method.

This article deals with problems related to efficient sensor placement in linear time-invariant discrete-time systems with partial state observations.

Multi-Fidelity Sensor Selection: Greedy Algorithms to Place Cheap and Expensive Sensors With Cost Constraints · Efficient Sensor Placement for Signal ...

May 1, 2024 · Sensor placement in linear time- invariant (LTI) systems has been optimized using gradient descent methods with similar computational complexity ...

Oct 22, 2024 · Objective functions for sensor selection are investigated in linear time-invariant systems with a large number of sensor candidates.

Jul 11, 2023 · This study compared the performance of sensor sets obtained using three types of D-optimality-based indices as objective functions for sensor ...