State reconstruction in discrete-time complex network with missing measurements
- Resource Type
- Conference
- Authors
- Fan, Chun-Xia; Yang, Fuwen; Zhou, Ying
- Source
- Proceedings of the 30th Chinese Control Conference Control Conference (CCC), 2011 30th Chinese. :843-849 Jul, 2011
- Subject
- Robotics and Control Systems
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Computing and Processing
Complex networks
Synchronization
Couplings
Artificial neural networks
Linear matrix inequalities
Observers
State reconstruction
Missing measurements
Inner coupling matrices
- Language
- ISSN
- 1934-1768
2161-2927
A state reconstruction problem is investigated for a class of discrete-time complex networks with the missing measurements in this paper. The different node dynamics and different inner coupling matrices are considered in the proposed complex networks. By using the Lyapunov stability theory combined with stochastic analysis, a novel state reconstruction scheme is proposed to estimate the states of discrete-time complex networks through the available output measurements, where the measurements are stochastic missing which are caused by data transmission among nodes due to communication unreliability. State reconstruction and stability conditions are derived in terms of linear matrix inequalities (LMIs). A simulation example is provided to demonstrate the effectiveness of the proposed scheme.