Volume 13 Number 9 (Sep. 2018)
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JCP 2018 Vol.13(9): 1115-1126 ISSN: 1796-203X
doi: 10.17706/jcp.13.9.1115-1126

Soft Switching Model Predictive Control with An Increase in the Security of Calculations and Information

Hamidreza Iranmanesh, Ahmad Afshar
Department of Electrical Engineering organization, Amirkabir university of Technology, Tehran, Iran.
Abstract—A popular control strategy is model predictive control. Sometimes, it is necessary to switch between multiple model predictive controllers in a plant to meet different sets of control objectives. Hard switching may introduce some unwanted effects, while the soft switching method changes to a new controller by distributing the switching process over a number of control steps, avoiding some of the hard switching problems. In this paper, a novel formulation of the soft switching coefficient in a softly switched model predictive control method is presented. This method is applied to a multi-area power system. Soft switching is performed from the initial feasible cooperation based model predictive controller to the new controller with an intentional reduction of the interaction effects on the cost function. The results of the simulation show a smaller dependence on the communication network after soft switching; therefore, the security of calculations and information is increased. Similarly, this approach can be implemented in other systems such as computer networks.

Index Terms—Computer network, information security, model predictive control, soft switching.

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Cite: Hamidreza Iranmanesh, Ahmad Afshar, "Soft Switching Model Predictive Control with An Increase in the Security of Calculations and Information," Journal of Computers vol. 13, no. 9, pp. 1115-1126, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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