Optimal Sensors and Actuators Placement for Large-Scale Switched Systems

Masoud Seyed Sakha, Hamid Reza Shaker*, Maryamsadat Tahavori

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Resumé

The problem of sensor and actuator placement is computationally expensive in particular in dealing with large-scale systems. This problem is even more computationally intensive in the case of switched systems. In this paper, we propose a new numerical approach for sensor and actuator placement for large-scale switched systems. We first introduce restricted genetic algorithm (RGA). RGA is an evolutionary algorithm which is developed specifically for sensors and actuator placement. We then use RGA to reduce the computational burden of the sensor and actuator placement for switched system. The proposed method uses the generalized gramians for switched systems which are called nice gramians. The nice gramians quantify the level of observability and reachability of switched systems. To the best of our knowledge, this paper presents the first results on sensor and actuator placement of switched systems. We show the effectiveness of the approach with the help of numerical examples.

OriginalsprogEngelsk
TidsskriftInternational Journal of Dynamics and Control
Vol/bind7
Udgave nummer1
Sider (fra-til)147-156
ISSN2195-268X
DOI
StatusUdgivet - mar. 2019

Fingeraftryk

Switched Systems
Large-scale Systems
Placement
Actuator
Actuators
Sensor
Sensors
Genetic algorithms
Genetic Algorithm
Observability
Evolutionary algorithms
Large scale systems
Reachability
Evolutionary Algorithms
Quantify
Numerical Examples

Citer dette

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Optimal Sensors and Actuators Placement for Large-Scale Switched Systems. / Seyed Sakha, Masoud; Shaker, Hamid Reza; Tahavori, Maryamsadat.

I: International Journal of Dynamics and Control, Bind 7, Nr. 1, 03.2019, s. 147-156.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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AU - Tahavori, Maryamsadat

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AB - The problem of sensor and actuator placement is computationally expensive in particular in dealing with large-scale systems. This problem is even more computationally intensive in the case of switched systems. In this paper, we propose a new numerical approach for sensor and actuator placement for large-scale switched systems. We first introduce restricted genetic algorithm (RGA). RGA is an evolutionary algorithm which is developed specifically for sensors and actuator placement. We then use RGA to reduce the computational burden of the sensor and actuator placement for switched system. The proposed method uses the generalized gramians for switched systems which are called nice gramians. The nice gramians quantify the level of observability and reachability of switched systems. To the best of our knowledge, this paper presents the first results on sensor and actuator placement of switched systems. We show the effectiveness of the approach with the help of numerical examples.

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