Nonlinear stochastic operators to control the consensus problem in multi-agent systems
The scope of this research is DSQO in order to generate models that will be applied for the consensus problem in MAS. The majorization concept, stochastic matrix, doubly stochastic matrix and QSO theory are included in this research to build the DSQO. The previous works have focused on the des...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
IIUM Press, International Islamic University Malaysia
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/74131/ http://irep.iium.edu.my/74131/1/74131_Nonlinear%20stochastic%20operators%20to%20control%20the%20consensus%20problem%20in%20multi-agent%20systems.pdf |
| Summary: | The scope of this research is DSQO in order to generate models that will be applied for the
consensus problem in MAS. The majorization concept, stochastic matrix, doubly stochastic
matrix and QSO theory are included in this research to build the DSQO. The previous works
have focused on the design of linear and nonlinear consensus for consensus problem in
MAS. In this research, a new paradigm of MAS designs where the linear model and the
complex nonlinear are replaced by a flexible (nonlinear model) derived and introduced
DSQO model. The distinction between the nonlinear systems and the linear systems is that
the nonlinear systems are quite difficult to study and design |
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