Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Volume 28, Issue 10, Pages 2446-2455Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2017.2728061
Keywords
Discrete time; linear programming (LP); multi-input and multi-output (MIMO); networked systems; nonnegative edge synchronization
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Funding
- National Natural Science Foundation of China [61473129, 51607075]
- Wuhan Morning Light Plan of Youth Science and Technology [2017050304010288]
- State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)
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This paper studies the multi-input and multi-output discrete-time nonnegative edge synchronization of networked systems based on neighbors' output information. The communication relationship among the edges of networked systems is modeled by well-known line graph. Two observer-based edge synchronization algorithms are designed, for which some necessary and sufficient synchronization conditions are derived. Moreover, some computable sufficient synchronization conditions are obtained, in which the feedback matrix and the observer matrix are computed by solving the linear programming problems. We finally design several simulation examples to demonstrate the validity of the given nonnegative edge synchronization algorithms.
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