Quantised H∞ filtering for networked systems with random sensor packet losses
Quantised H∞ filtering for networked systems with random sensor packet losses
- Author(s): W.-W. Che ; J.-L. Wang ; G.-H. Yang
- DOI: 10.1049/iet-cta.2009.0120
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): W.-W. Che 1 ; J.-L. Wang 1 ; G.-H. Yang 2
-
-
View affiliations
-
Affiliations:
1: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
2: College of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China
-
Affiliations:
1: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
- Source:
Volume 4, Issue 8,
August 2010,
p.
1339 – 1352
DOI: 10.1049/iet-cta.2009.0120 , Print ISSN 1751-8644, Online ISSN 1751-8652
This study is concerned with the quantised H∞ filtering problem for discrete-time systems subject to limited communication capacity, which includes measurement quantisation and random sensor packet losses. By introducing an improved quantised random packet-loss model, the effects of the packet-loss rate and the upper bound of consecutive packet losses and the quantisation on the system performance are considered simultaneously. A quantised H∞ filter design strategy with the minimised static quantiser range is designed to guarantee the error system exponentially mean-square stable and also achieve the prescribed H∞ disturbance attenuation level. A numerical example is given to illustrate the effectiveness of the proposed filter design method.
Inspec keywords: filtering theory; H∞ control; packet radio networks; discrete time systems; mean square error methods; asymptotic stability; distributed control
Other keywords:
Subjects: Discrete control systems; Filtering methods in signal processing; Radio links and equipment; Signal processing theory; Interpolation and function approximation (numerical analysis); Stability in control theory; Interpolation and function approximation (numerical analysis); Optimal control
References
-
-
1)
- S.L. Sun , L.H. Xie , W.D. Xiao , Y.C. Soh . Optimal linear estimation for systems with multiple packet dropouts. Automatica , 1333 - 1342
-
2)
- Z.D. Wang , F.W. Yang , D.W.C. Ho , X. Liu . Robust H∞ filtering for stochastic time-delay systems with missing measurements. IEEE Trans. Signal Process , 7 , 2579 - 2587
-
3)
- D. Liberzon . Hybrid feedback stabilization of systems with quantized signals. Automatica , 1543 - 1554
-
4)
- Hoshina, H., Tsumura, K., Ishii, H.: `The coarsest logarithmic quantizers for stabilization of linear systems with packet losses', Proc. 46th IEEE Conf. on Decision and Control, 2007, New Orleans, LA, USA, p. 2235–2240.
-
5)
- H. Zhang , L. Xie . (2007) Control and estimation of systems with input/output delays.
-
6)
- G.N. Nair , R.J. Evans . Exponential stabilizability of finite-dimensional linear systems with limited data rates. Automatica , 585 - 593
-
7)
- S.S. Zhou , G. Feng . H∞ filtering for discrete-time systems with randomly varying sensor delays. Automatica , 1918 - 1922
-
8)
- Zhai, G., Mi, Y., Imae, J., Kobayashi, T.: `Design of ', Proc. 16th IFAC World Congress, 2005, Prague, Czech Republic, Paper No: Fr-M17-To/1.
-
9)
- Coutinho, D., Fu, M.Y., de Souza, C.E.: `Output feedback control of linear systems with input and output quantization', Proc. 47th IEEE Conf. on Decision and Control, 2008, Cancun, Mexico, p. 4706–4711.
-
10)
- R.E. Kalman . A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng. Ser. D , 1 , 35 - 45
-
11)
- W.W. Che , G.H. Yang . Quantized H ∞ filter design for discrete-time systems. Int. J. Control , 2 , pp. 195 - 206
-
12)
- A. Ray . Output feedback control under randomly varying distributed delays. J. Guid., Control, Dyn. , 4 , 701 - 711
-
13)
- F.W. Yang , Z.D. Wang , Y.S. Huang , M. Gani . H∞ control for networked systems with random communication delays. IEEE Trans. Autom. Control , 3 , 511 - 518
-
14)
- M.G. Rivera , A. Barreiro . Analysis of networked control systems with drops and variable delays. Automatica , 2054 - 2059
-
15)
- T. Kailath , A.H. Sayed , B. Hassibi . (2000) Linear estimation.
-
16)
- S. Tatikonda , S. Mitter . Control under communication constraints. IEEE Trans. Autom. Control , 7 , 1056 - 1068
-
17)
- H.J. Gao , T.W. Chen . H∞ estimation for uncertain systems with limited communication capacity. IEEE Trans. Autom. Control , 11 , 2070 - 2084
-
18)
- Yaz, E., Ray, A.: `Linear unbiased state estimation for random models with sensor delay', Proc. Conf. Decision and Control, 1996, Kobe, Japan, p. 47–52.
-
19)
- E. Tian , D. Yue , X. Zhao . Quantised control design for networked control systems. IET Control Theory Appl. , 6 , 1693 - 1699
-
20)
- N. Elia . Stabilization of linear systems with limited information. IEEE Trans. Autom. Control , 9 , 1384 - 1400
-
21)
- M. Fu , L. Xie . The sector bound approach to quantized feedback control. IEEE Trans. Autom. Control , 11 , 1698 - 1711
-
22)
- J.L. Xiong , J. Lam . Stabilization of linear systems over networks with bounded packet loss. Automatica , 1 , 80 - 87
-
23)
- D.F. Delchamps . Stabilizing a linear system with quantized state feedback. IEEE Trans. Autom. Control , 8 , 916 - 924
-
24)
- M.Y. Huang , S. Dey . Stability of Kalman filtering with markovian packet losses. Automatica , 4 , 598 - 607
-
25)
- Yu, M., Wang, L., Xie, G., Chu, T.: `Stabilization of networked control systems with data packet dropout via switched system approach', IEEE Int. Symp. Computer Aided Contr. Syst. Design, 2004, p. 362–367.
-
26)
- Chen, Y., Xiao, B., Xu, Z.: `Fault detection filter design for networked control system with communication delays', Proc. Sixth Int. Conf. Intelligent Syst. Design Appl., 2006, p. 867–872.
-
27)
- Y.L. Wang , G.H. Yang . Multiple communication channels-based packet dropout compensation for networked control systems. IET Control Theory Appl. , 8 , 717 - 727
-
28)
- R.W. Brokcett . Quantized feedback stabilization of linear systems. IEEE Trans. Autom. Control , 7 , 1279 - 1289
-
29)
- Vu, L., Liberzon, D.: `Stabilizing uncertain systems with dynamic quantization', Proc. 47th IEEE Conf. on Decision and Control, 2008, Cancun, Mexico, p. 4681–4686.
-
30)
- M. Sahebsara , T. Chen , S.L. Shah . Optimal H2 filtering with random sensor delay, multiple packet dropout and uncertain observations. Int. J. Control , 2 , 292 - 301
-
31)
- M. Basin , J. Rodriguez-Gonzalez , R. Martinez-Zuñiga . Optimal filtering for linear state delay systems. IEEE Trans. Autom. Control , 5 , 684 - 690
-
32)
- Z.D. Wang , D.W.C. Ho , X. Liu . Robust filtering under randomly varying sensor delays with variance constraints. IEEE Trans. Circuits Syst. II , 6 , 320 - 326
-
1)