Generic identifiability of subnetworks in a linear dynamic network: The full measurement case

A freely moving nodes forming as group to communicate among themselves are called as Mobile AdHoc Networks (MANET). Many applications are choosing this MANET for effective commutation due to its flexible nature in forming a network. But due to its openness characteristics it is posing many security challenges. As it has highly dynamic network topology security for routing is playing a major role. We have very good routing protocols for route discovery as well as for transporting data packers but most of them lack the feature of security like AODV. In this paper we are studying the basic protocol AODV and identify how it can be made secure. We are studying a protocol S-AODV which is a security extension of AODV which is called Secure AODV (S-AODV) and we are studying enhanced version of S-AODV routing protocol a Adaptive Secure AODV (A-SAODV). Finally we have described about the parameter to be taken for performance evaluation of different secure routing protocols

Download Full-text

Modelling and control of an alkaline water electrolysis process

International Journal of Computational Physics Series ◽

10.29167/a1i2p9-14 ◽

2018 ◽

Vol 1 (2) ◽

pp. 9-14

Author(s):

Marisol Cervantes-Bobadilla ◽

Ricardo Fabricio Escobar Jiménez ◽

José Francisco Gómez Aguilar ◽

Tomas Emmanuel Higareda Pliego ◽

Alberto Armando Alvares Gallegos

Keyword(s):

Process Model ◽

Water Electrolysis ◽

Alkaline Water Electrolysis ◽

Alkaline Water ◽

Electrolysis Process ◽

Linear Dynamic ◽

Energy Current ◽

Identification Technique ◽

Nonlinear Static ◽

And Control

In this research, an alkaline water electrolysis process is modelled. The electrochemical electrolysis is carried out in an electrolyzer composed of 12 series-connected steel cells with a solution 30% wt of potassium hydroxide. The electrolysis process model was developed using a nonlinear identification technique based on the Hammerstein structure. This structure consists of a nonlinear static block and a linear dynamic block. In this work, the nonlinear static function is modelled by a polynomial approximation equation, and the linear dynamic is modelled using the ARX structure. To control the current feed to the electrolyzer an unconstraint predictive controller was implemented, once the unconstrained MPC was simulated, some restrictions are proposed to design a constrained MPC (CMPC). The CMPC aim is to reduce the electrolyzer's energy consumption (power supply current). Simulation results showed the advantages of using the CMPC since the energy (current) overshoots are avoided.

Download Full-text