Communication logic design and analysis for networked control systems

Systems and Control: Foundations and Applications

Volumn , Issue 9780817643836, 2006, Pages 495-514

  Xu, Yonggang ^a   Hespanha, João P ^a  

^a University of California   (United States)

Author keywords

Asynchronous transfer mode; Communication rate; Local controller; Network control system; Remote node

Indexed keywords

EID: 85014285569     PISSN: 23249749     EISSN: 23249757     Source Type: Book Series    
DOI: 10.1007/0-8176-4470-9_27     Document Type: Chapter

References (24)

1. Coleri S, Puri A, Varaiya P (2003) Power efficient system for sensor networks. 837–842. In: Eighth IEEE International Symposium on Computers and Communication, Kemer–Antalya, Turkey
2. Cox DR (1955) Some statistical methods connected with series of events. Journal of the Royal Statistical Society 17(2):129–164
3. Elia N, Mitter SK (2001) Stabilization of linear systems with limited information. IEEE Trans. on Automat. Contr. 46(9):1384–1400
4. Glasserman P, Merener N (2003) Numerical solution of jump-diffusion LIBOR market models. Finance and Stochastics 7:1–27
5. Hespanha JP (2004) Stochastic hybrid systems: applications to communication networks. In: Alur R, Pappas GJ (eds), Hybrid systems: computation and control, number 2993 in Lect. Notes in Comput. Science, 387–401. Springer Verlag, Berlin
6. Hespanha JP, Ortega A, Vasudevan L (2002) Towards the control of linear systems with minimum bit-rate. In: Proc. of the Int. Symp. on the Math. Theory of Networks and Systems, University of Notre Dame, France
7. Khalil HK (1996) Nonlinear systems. Prentice-Hall, Upper Saddle River, NJ
8. Kurtaran B (1979) Corrections and extensions to “decentralized stochastic control with delayed sharing information pattern.” IEEE Trans. on Automat. Contr. AC-24(4):656–657
9. Kushner H (2001) Heavy traffic analysis of controlled queueing and communication networks, vol. 47 of Applications of Mathematics. Springer-Verlag, Berlin
10. Lian FL (2001) Analysis, design, modeling, and control of networked control systems. PhD thesis. University of Michigan, Ann Arbor, MI
11. Liberzon D (2002) A note on stabilization of linear systems using coding and limited communication. 836–841. In: Proc. of the 41st Conf. on Decision and Contr., Las Vegas, NV
12. Liberzon D, Hespanha JP (2005) Stabilization of nonlinear systems with limited information feedback IEEE Trans. on Automatic Control 50(6):910–915
13. Matveev AS, Savkin AV (2003) The problem of state estimation via asynchronous communication channels with irregular transmission times. IEEE Trans. on Automat. Contr. 48(4):670–676
14. Nair GN, Evans RJ (2000) Communication-limited stabilization of linear systems. 1005–1010. In: Proc. of the 39th Conf. on Decision and Contr.
15. Oksendal B (2000) Stochastic differential equations: an introduction with applications. Springer-Verlag, Berlin
16. Revuz D, Yor M (1999) Continuous martingales and brownian motion. Springer-Verlag, Berlin
17. Schuss Z (1980) Theory and applications of stochastic differential equations. Wiley Series in Probability and mathematical statistics, John Wiley and Sons, New York
18. Tatikonda S (2000) Control under communication constrains. PhD thesis, MIT, Cambridge, MA
19. Witsenhausen HS (1968) A counterexample in stochastic optimum control. SIAM J. Contr. 6(1):131–147
20. Witsenhausen HS (1971) Separation of estimation and control for discrete time systems. Proceedings of the IEEE 59(11):1557–1566
21. Wong WS, Brockett RW (1997) Systems with finite communication bandwidth constraints–part I: state estimation problems. IEEE Trans. on Automat. Contr. 42(9):294-299
22. Wong WS, Brockett RW (1999) Systems with finite communication bandwidth constraints–II: stabilization with limited information feedback. IEEE Trans. on Automat. Contr. 44(5):1049–1053
23. Xu Y, Hespanha JP (2004) Optimal communication logics for networked control systems. In: Proc. of the 43rd Conf. on Decision and Contr., Atlantis, Bahamas
24. Yook JK, Tilbury DM, Soparkar NR (2002) Trading computation for bandwidth: reducing communication in distributed control systems using state estimators. IEEE Trans. Contr. Syst. Technol. 10(4):503–518