Distributed H∞-consensus filtering for target state tracking over a wireless filter network with switching topology, channel fading and packet dropouts

Abstract This paper is concerned with the problem of distributed H∞-consensus filtering for target state tracking over a wireless filter network. The wireless filter network consists of a large number of filter nodes. The network topology is supposed to be switching or changeable over time. Data communication between filter nodes is subject to some network-induced constraints including packet dropouts and channel fading. Different from some existing results, packet dropouts and channel fading are assumed to occur not only in the measurement process for sensors but also in the transmission process among filter nodes. Within such settings, a distributed H∞-consensus filtering method is developed to ensure both the estimation accuracy of filters and the robustness of the filtering error system against network-induced constraints. Criteria on designing desired distributed H∞ consensus-based filter are derived in terms of a set of linear matrix inequalities. Numerical examples are given to verify the effectiveness of the proposed target state tracking filtering algorithm.

[1]  Jin-Bae Park,et al.  Intelligent Kalman filter for tracking a manoeuvring target , 2004 .

[2]  Pramod K. Varshney,et al.  Sparsity-Promoting Extended Kalman Filtering for Target Tracking in Wireless Sensor Networks , 2012, IEEE Signal Processing Letters.

[3]  Huijun Gao,et al.  On H-infinity Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems With Fading Channels , 2016, IEEE Transactions on Automatic Control.

[4]  Kok Lay Teo,et al.  Sampled-data synchronization control for chaotic neural networks subject to actuator saturation , 2017, Neurocomputing.

[5]  Kok Lay Teo,et al.  A new Lyapunov functional approach to sampled-data synchronization control for delayed neural networks , 2018, J. Frankl. Inst..

[6]  Qing-Long Han,et al.  Abel lemma-based finite-sum inequality and its application to stability analysis for linear discrete time-delay systems , 2015, Autom..

[7]  Derui Ding,et al.  An overview of recent developments in Lyapunov-Krasovskii functionals and stability criteria for recurrent neural networks with time-varying delays , 2018, Neurocomputing.

[8]  R. Moose,et al.  Modeling and Estimation for Tracking Maneuvering Targets , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Peng Shi,et al.  Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels , 2018, IEEE Transactions on Cybernetics.

[10]  Yunmin Zhu,et al.  Distributed Kalman filtering based on optimal weighting matrix , 2017, 2017 36th Chinese Control Conference (CCC).

[11]  Qing-Long Han,et al.  Distributed event-triggered H1 filtering over sensor networks with communication delays , 2014 .

[12]  Zhen Wang,et al.  Further results on sampled-data synchronization control for chaotic neural networks with actuator saturation , 2019, Neurocomputing.

[13]  Donghua Zhou,et al.  Event-Based Distributed Filtering With Stochastic Measurement Fading , 2015, IEEE Transactions on Industrial Informatics.

[14]  Qing-Long Han,et al.  Achieving Cluster Formation of Multi-Agent Systems Under Aperiodic Sampling and Communication Delays , 2018, IEEE Transactions on Industrial Electronics.

[15]  Xin-Ping Guan,et al.  Distributed optimal consensus filter for target tracking in heterogeneous sensor networks , 2011, 2011 8th Asian Control Conference (ASCC).

[16]  James Lam,et al.  Finite-Horizon ${\cal H}_{\infty}$ Control for Discrete Time-Varying Systems With Randomly Occurring Nonlinearities and Fading Measurements , 2015, IEEE Transactions on Automatic Control.

[17]  Qing-Long Han,et al.  Secure Distributed Finite-Time Filtering for Positive Systems Over Sensor Networks Under Deception Attacks , 2020, IEEE Transactions on Cybernetics.

[18]  Fuwen Yang,et al.  H∞ filtering for nonlinear networked systems with randomly occurring distributed delays, missing measurements and sensor saturation , 2016, Inf. Sci..

[19]  Qing-Long Han,et al.  A Decentralized Event-Triggered Dissipative Control Scheme for Systems With Multiple Sensors to Sample the System Outputs , 2016, IEEE Transactions on Cybernetics.

[20]  F. Gouaisbaut,et al.  Overview of recent advances in stability of linear systems with time‐varying delays , 2019, IET Control Theory & Applications.

[21]  D. Tenne,et al.  Tracking for maneuvering target trajectories via the 3D circular filter , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Zhen Wang,et al.  Study on AGV posture estimating based on Distributed Kalman fusion for multi-sensor , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[23]  Xu Jie.  Kalman filter for automatic tracking on the vehicular fire control system , 2010 .

[24]  Qing-Long Han,et al.  Network-based H∞H∞ filtering using a logic jumping-like trigger , 2013, Autom..

[25]  Qing-Long Han,et al.  Distributed networked control systems: A brief overview , 2017, Inf. Sci..

[26]  Jinhua She,et al.  Robust H∞ control of an observer-based repetitive-control system , 2018, J. Frankl. Inst..

[27]  Qing-Long Han,et al.  A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems , 2019, IEEE Transactions on Industrial Informatics.

[28]  Xiaohua Ge,et al.  Distributed Secure Estimation Over Wireless Sensor Networks Against Random Multichannel Jamming Attacks , 2017, IEEE Access.

[29]  Zidong Wang,et al.  Distributed Filtering for Switched Nonlinear Positive Systems With Missing Measurements Over Sensor Networks , 2016, IEEE Sensors Journal.

[30]  Simon J. Godsill,et al.  Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters , 2007, Proceedings of the IEEE.

[31]  Valery A. Ugrinovskii,et al.  Distributed robust estimation over randomly switching networks using H∞ consensus , 2015, Autom..

[32]  Jia Wang,et al.  Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[33]  Fuwen Yang,et al.  Robust $H_{\infty }$ Control With Missing Measurements and Time Delays , 2007, IEEE Transactions on Automatic Control.

[34]  Wen-an Zhang,et al.  Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts , 2014, IEEE Transactions on Automatic Control.

[35]  Wei Wang,et al.  Distributed H∞ filtering in sensor networks with randomly occurred missing measurements and communication link failures , 2013, Inf. Sci..

[36]  Carlos Vivas,et al.  Distributed consensus-based estimation considering network induced delays and dropouts , 2012, Autom..

[37]  R. Olfati-Saber,et al.  Distributed Kalman Filter with Embedded Consensus Filters , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[38]  Reza Olfati-Saber,et al.  Coupled Distributed Estimation and Control for Mobile Sensor Networks , 2012, IEEE Transactions on Automatic Control.

[39]  Daniel W. C. Ho,et al.  Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks , 2017, IEEE Transactions on Cybernetics.

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

[41]  Qing-Long Han,et al.  Consensus of Multiagent Systems Subject to Partially Accessible and Overlapping Markovian Network Topologies , 2017, IEEE Transactions on Cybernetics.

[42]  Kok Lay Teo,et al.  Improved Stability Criteria for Discrete-time Delay Systems via Novel Summation Inequalities , 2018, International Journal of Control, Automation and Systems.

[43]  Iwan Kustiawan,et al.  Handoff Decision Using a Kalman Filter and Fuzzy Logic in Heterogeneous Wireless Networks , 2015, IEEE Communications Letters.

[44]  Qing-Long Han,et al.  A Threshold-Parameter-Dependent Approach to Designing Distributed Event-Triggered $H_{\infty}$ Consensus Filters Over Sensor Networks , 2019, IEEE Transactions on Cybernetics.

[45]  E. J. Lefferts,et al.  Kalman Filtering for Spacecraft Attitude Estimation , 1982 .

[46]  Qing-Long Han,et al.  $\mathcal{H}_{\infty}$ Containment Control of Multiagent Systems Under Event-Triggered Communication Scheduling: The Finite-Horizon Case , 2020, IEEE Transactions on Cybernetics.