Dual control theory

Dual control theory is a branch of control theory that deals with the control of systems whose characteristics are initially unknown. It is called dual because in controlling such a system the controller's objectives are twofold:

(1) Action: To control the system as well as possible based on current system knowledge
(2) Investigation: To experiment with the system so as to learn about its behavior and control it better in the future.

These two objectives may be partly in conflict.

Dual control theory was developed by Alexander Aronovich Fel'dbaum in 1960. He showed that in principle the optimal solution can be found by dynamic programming, but this is often impractical; as a result a number of methods for designing sub-optimal dual controllers have been devised.

Example

To use an analogy: if you are driving a new car you want to get to your destination cheaply and smoothly, but you also want to see how well the car accelerates, brakes and steers so as to get a better feel for how to drive it, so you will do some test manoeuvers for this purpose. Similarly a dual controller will inject a so-called probing (or exploration) signal into the system that may detract from short-term performance but will improve control in the future.

References

Feldbaum, A.A. (April 1961) [September 1960 (in Russian, pp. 1240–1249)]. "Dual control theory, Part I". Automation and Remote Control. 21 (9): 874–880.
Feldbaum, A.A. (May 1961) [November 1960 (in Russian, pp. 1453–1464)]. "Dual control theory, Part II". Automation and Remote Control. 21 (11): 1033–1039.
Wittenmark, B. (June 1995). "Adaptive Dual Control Methods: An Overview". Lund University. CiteSeerX 10.1.1.25.7446. Cite journal requires |journal= (help)

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.