Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs (Q2097712)

The paper presents a study on the structural state and input observability of continuous-time switched linear time-invariant systems with unknown inputs. The authors provide necessary and sufficient conditions for structural state and input observability that can be efficiently verified. Additionally, they address the minimum sensor placement problem for these systems by adopting a feed-forward analysis and providing an algorithm with a computational complexity that is also efficient. Lastly, the paper demonstrates the application of the algorithm to a real-world example in power systems. Overall, this research has significant implications for the practical design and implementation of control systems, particularly in fields such as power systems, where efficient algorithms and sensor placement strategies are crucial.