A Novel Method for Optimal Sensor and Actuator ‎Placements: The “Infinite Value Algorithm”‎

Cyber-physical systems rely heavily on the functionality of sensors and actuators to operate ‎effectively. Sensors transfer measurements from the physical part to the control and cyber part ‎and while actuators that play the role of applying control signals to the physical part. The ‎placement of sensors and actuators is an important issue for ensuring system’s observability and ‎controllability. This placement should be done in way that the system remains controllable and ‎observable with fewest number of sensors and actuators.. Minimizing the number of sensors and ‎actuators has a significant effect on cost and energy reduction. In this study, a new approach is ‎introduced based on the existing paths and non-existent paths between the states of a system. In ‎the proposed approach, the non-existent paths are defined as infinite paths. The best nodes are ‎selected as the location of sensors and actuators based on the infinite paths and their ‎numbers.The numerical simulations illustrate that the Infinite Value Algorithm has performed ‎better in the placements in this way that it has consumed the unique solution in less time ‎compared the Genetic Algorithms.‎