Guidelines for a systematic review in systems and automatic engineering. Case study: distributed estimation techniques for cyber-physical systems

Author(s):  
Carmelina Ierardi ◽  
Luis Orihuela ◽  
Isabel Jurado
Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4720 ◽  
Author(s):  
Carmelina Ierardi ◽  
Luis Orihuela ◽  
Isabel Jurado

This paper undertakes a systematic review (SR) on distributed estimation techniques applied to cyber-physical systems (CPS). Even though SRs are not the common way to survey a theme in the control community, they provide a rigorous, robust and objective formula that should not be always ignored. The presented SR incorporates and adapts the guidelines recommended in other fields (mainly biosciences and computer sciences) to the field of automation and control and presents a brief description of the different phases that constitute an SR. As a result, this review compares the different techniques found in the literature in terms of: The proposed estimator (Kalman filter, Luenberger observer, Bayesian filter, etc.), the particular application within CPS, the design of the estimators (decentralized vs centralized), the amount of data required for implementation or the inclusion of experiments/simulations in the studies. Particular attention is paid to those papers that present some results in applications that include humans, animals or biological systems.


2021 ◽  
pp. 101951
Author(s):  
Ahmed Abdulhasan Alwan ◽  
Mihaela Anca Ciupala ◽  
Allan J. Brimicombe ◽  
Seyed Ali Ghorashi ◽  
Andres Baravalle ◽  
...  

2021 ◽  
Author(s):  
Jon Ayerdi ◽  
Valerio Terragni ◽  
Aitor Arrieta ◽  
Paolo Tonella ◽  
Goiuria Sagardui ◽  
...  

2018 ◽  
Vol 138 ◽  
pp. 1-12 ◽  
Author(s):  
Quang Do ◽  
Ben Martini ◽  
Kim-Kwang Raymond Choo

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