Skip to main content

Optimal Control of Information Structures

  • Conference paper
  • 52 Accesses

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 162))

Abstract

The optimal control of an information structure is considered. The term “Information structure” stands here for a set of functions which determine what information the members of a team organization can obtain from the so-called state of the world in order to take their decisions. This term is considered in an extended sense, as compared with Marschak and Radner or Ho and Chu, in order to take into account the possibility of varying the parameters of the information structure according to control laws.

Such generalization is mainly important in large-scale systems characterized by the presence of posts where information is handy, and posts where decisions are taken. Whenever these posts are interconnected by a real communication network (characterized by noises, costs for messages, stochastic interruptions, etc.), an ‘objective’ reason for setting up a decentralized control scheme occurs, and decision rules are required for an efficient data interchange within the network.

A team theory approach is used to derive these decision rules for communication structures of practical interest. Two distinct subteams are considered: a subteam of controlling agents, who exert control actions on the process, and a subteam of observing agents, who decide when, and what kind of, observed data must be sent to the controlling subteam. A one-stage decision process is dealt with under LQG assumptions. Then an N-stage problem is investigated, but only a unique controlling agent and a unique observing agent are the members of the team. This two-person dynamic case is also extended to an infinite time control horizon to derive optimal stationary control laws.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bailey, F.N.: Decision processes in organizations. In Saeks, R. (ed.): Large scale dynamical systems. Pt. Lobos Press, 1977.

    Google Scholar 

  2. Marschak, J., and Radner, R.: Economie theory of teams. New Haven and London: Yale University Press, 1972.

    Google Scholar 

  3. Ho, Y.C., and Chu, K.C.: Team decision theory and information structures in optimal control problems — Part I. IEEE Trans. Automatic Control AC-17 (1972) 15–22.

    Google Scholar 

  4. Nance, R.E., Korfhage, R. R, and Bhat, U.N.: Information networks: definitions and message transfer models. Journal of the American Society for Information Science 23 (1972) 237–247.

    Article  Google Scholar 

  5. Sandell, N.R., and Athans, M.: Relativistic control theory and the dynamic control of communication networks. Proc. 1975 Decision and Control Conference, 451-455.

    Google Scholar 

  6. Kushner, H.J.: On the optimum timing of observations for linear control systems with unknown initial state. IEEE Trans. Automatic Control AC-9 (1964) 144–150.

    Article  Google Scholar 

  7. Meier, L., Peschon, J., and Dressler, R.M.: Optimal control of measurement subsystems. IEEE Trans. Automatic Control, AC-12 (1967) 528–536.

    Article  Google Scholar 

  8. Sano, A., and Terao, M.: Measurement optimization in optimal process control. Automatica 6 (1970) 705–714.

    Article  Google Scholar 

  9. Puliafito, P.P., and Zoppoli, R.: Optimization of costly measurements in stochastic decision processes. Zeitschrift für Operations Research 17 (1973) 129–142.

    Article  Google Scholar 

  10. Puliafito, P.P., and Zoppoli, R.: Optimal control, of data flow from peripheral to central units in an information structure. Proc. IFAC Symposium on Large Scale Systems Theory and Applications, Udine, Italy (1976) 479-487.

    Google Scholar 

  11. Radner, R.: Team decision problems, Ann. Math. Statist. 3 (1962) 857–881.

    Article  Google Scholar 

  12. Chu, K.C.: Team decision theory and information structures in optimal control problems — Part II. IEEE Trans. Automatic Control AC-17 (1972) 22–28.

    Google Scholar 

  13. Ho, Y.C., and Chu, K.C.: On the equivalence of information structures in static and dynamic teams. IEEE Trans. Automatic Control AC-18 (1973) 187–188.

    Article  Google Scholar 

  14. Sandell, N.R., and Athans, M.: Solution of some nonclassical LQG stochastic decision problems. IEEE Trans. Automatic Control AC-19 (1974) 108–116.

    Article  Google Scholar 

  15. Yoshikawa, T.: Dynamic programming approach to decentralized stochastic control problems. IEEE Trans. Automatic Control AC-20 (1975) 796–797.

    Article  Google Scholar 

  16. Kurtaran, B.Z.: Decentralized stochastic control with delayed sharing information pattern. IEEE Trans. Automatic Control AC-21 (1976) 576–581.

    Article  Google Scholar 

  17. Casalino, G., Davoli, F., Puliafito, P.P., and Zoppoli, R.: Models of communication networks in large scale systems. Ricerche di Automatica 7 (1976) 60–90.

    Google Scholar 

  18. Kramer, L.C., and Athans, M.: On simultaneous choice of dynamic control and measurement strategies for stochastic systems. Joint Automatic Control Conference, Stanford, Ca. (1972) 176-182.

    Google Scholar 

  19. Zoppoli, R.: Communication problems in decentralized control systems. Proc. Second European Meeting on Cybernetics and System Research, Vienna (1974) 110-123.

    Google Scholar 

  20. Casalino, G., Davoli, F., and Zoppoli, R.: Data acquisition and control in decentralized systems. IFAC/IFORS/IIASA Workshop on Systems Analysis Applications to Complex Programs, Bielsko Biala, Poland, 1977.

    Google Scholar 

  21. Casalino, G., Davoli, F., Puliafito, P.P., and Zoppoli, R.: Dynamic programming in optimization problems with discounted cost and infinite time horizon. Rep. No. SSI-75, Ist. di Elettrotecnica, University of Genoa, Italy, 1977.

    Google Scholar 

  22. Ross, S.M.: Arbitrary state Markovian decision processes. Ann. Math. Statist. 39 (1968) 2118–2122.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1978 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Casalino, G., Davoli, F., Zoppoli, R. (1978). Optimal Control of Information Structures. In: Mohler, R.R., Ruberti, A. (eds) Recent Developments in Variable Structure Systems, Economics and Biology. Lecture Notes in Economics and Mathematical Systems, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45509-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45509-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-09089-2

  • Online ISBN: 978-3-642-45509-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics