Distributed asynchronous passive filtering for nonlinear Markov jump systems

The distributed asynchronous passive filtering problem is studied for nonlinear Markov jump systems subject to packet loss. In the distributed case, the asynchronous phenomenon between the filters and system, which is more complicated than the common ones, is handled by introducing a mutually independent Markov chain. A sufficient condition for passive performance is proposed for the filtering error system via a mode-dependent Lyapunov functional, based on which the filter design scheme is also outlined by explicitly characterizing the filter parameters in terms of matrix inequalities.

[1]  Yeung Sam Hung,et al.  Distributed $H_{\infty}$ Filtering for Polynomial Nonlinear Stochastic Systems in Sensor Networks , 2011, IEEE Transactions on Industrial Electronics.

[2]  Jiming Chen,et al.  Building-Environment Control With Wireless Sensor and Actuator Networks: Centralized Versus Distributed , 2010, IEEE Transactions on Industrial Electronics.

[3]  Daniel W. C. Ho,et al.  Partial-Information-Based Distributed Filtering in Two-Targets Tracking Sensor Networks , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Ai-Guo Wu,et al.  Asynchronous l2 − l∞ filtering for Markov jump systems , 2013, 2013 Australian Control Conference.

[5]  Yeung Sam Hung,et al.  Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case , 2010, Autom..

[6]  Huijun Gao,et al.  Distributed H∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks , 2013, IEEE Transactions on Industrial Electronics.

[7]  Zidong Wang,et al.  Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays , 2009, IEEE Transactions on Neural Networks.

[8]  Mingfu Li,et al.  Design and Implementation of Smart Home Control Systems Based on Wireless Sensor Networks and Power Line Communications , 2015, IEEE Transactions on Industrial Electronics.

[9]  Panos J. Antsaklis,et al.  On relationships among passivity, positive realness, and dissipativity in linear systems , 2014, Autom..

[10]  Peng Shi,et al.  Asynchronous I2-I∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities , 2014, Autom..

[11]  Guisong Yang,et al.  Distributed H∞ filtering for a class of sensor networks with uncertain rates of packet losses , 2014, Signal Process..

[12]  Hongli Dong,et al.  Distributed filtering with randomly occurring uncertainties over sensor networks: the channel fading case , 2014, Int. J. Gen. Syst..

[13]  Xiaofeng Wang,et al.  Networked Strong Tracking Filtering with Multiple Packet Dropouts: Algorithms and Applications , 2014, IEEE Transactions on Industrial Electronics.

[14]  Gerhard P. Hancke,et al.  Opportunities and Challenges of Wireless Sensor Networks in Smart Grid , 2010, IEEE Transactions on Industrial Electronics.

[15]  Zidong Wang,et al.  Recent advances on distributed filtering for stochastic systems over sensor networks , 2014, Int. J. Gen. Syst..