Summary
This chapter addresses the control of spatially distributed processes via communication networks with a fixed delay. A distributed architecture is utilized in which multiple local controllers coordinate their efforts through a data network that allows information exchange. We focus our work on linear time-invariant processes disturbed by Gaussian white noise and propose several logics to determine when the local controllers should communicate. Necessary conditions are given under which these logics guarantee boundedness and the trade-off is investigated between the amount of information exchanged and the performance achieved. The theoretical results are validated through Monte Carlo simulations. The resulting closed loop systems evolve according to stochastic differential equations with resets triggered by stochastic counters. This type of stochastic hybrid system is interesting on its own.
This research was supported by the National Science Foundation under the grant numbers CCR-0311084 and ECS-0242798.
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References
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
Cox DR (1955) Some statistical methods connected with series of events. Journal of the Royal Statistical Society 17(2):129–164
Elia N, Mitter SK (2001) Stabilization of linear systems with limited information. IEEE Trans. on Automat. Contr. 46(9):1384–1400
Glasserman P, Merener N (2003) Numerical solution of jump-diffusion LIBOR market models. Finance and Stochastics 7:1–27
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
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
Khalil HK (1996) Nonlinear systems. Prentice-Hall, Upper Saddle River, NJ
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
Kushner H (2001) Heavy traffic analysis of controlled queueing and communication networks, vol. 47 of Applications of Mathematics. Springer-Verlag, Berlin
Lian FL (2001) Analysis, design, modeling, and control of networked control systems. PhD thesis. University of Michigan, Ann Arbor, MI
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
Liberzon D, Hespanha JP (2005) Stabilization of nonlinear systems with limited information feedback IEEE Trans. on Automatic Control 50(6):910–915
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
Nair GN, Evans RJ (2000) Communication-limited stabilization of linear systems. 1005–1010. In: Proc. of the 39th Conf. on Decision and Contr.
Oksendal B (2000) Stochastic differential equations: an introduction with applications. Springer-Verlag, Berlin
Revuz D, Yor M (1999) Continuous martingales and brownian motion. Springer-Verlag, Berlin
Schuss Z (1980) Theory and applications of stochastic differential equations. Wiley Series in Probability and mathematical statistics, John Wiley and Sons, New York
Tatikonda S (2000) Control under communication constrains. PhD thesis, MIT, Cambridge, MA
Witsenhausen HS (1968) A counterexample in stochastic optimum control. SIAM J. Contr. 6(1):131–147
Witsenhausen HS (1971) Separation of estimation and control for discrete time systems. Proceedings of the IEEE 59(11):1557–1566
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
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
Xu Y, Hespanha JP (2004) Optimal communication logics for networked control systems. In: Proc. of the 43rd Conf. on Decision and Contr., Atlantis, Bahamas
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
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Xu, Y., Hespanha, J.P. (2006). Communication Logic Design and Analysis for Networked Control Systems. In: Menini, L., Zaccarian, L., Abdallah, C.T. (eds) Current Trends in Nonlinear Systems and Control. Systems and Control: Foundations & Applications. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4470-9_27
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DOI: https://doi.org/10.1007/0-8176-4470-9_27
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