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The Nonconvexities Problem in Adaptive Control Models

  • Marco P. Tucci
Part of the Advances in Computational Economics book series (AICE, volume 19)

Abstract

In the last few years new attention has been paid to the problem of nonconvexities in the objective functional, or cost-to-go, of adaptive control models. The problem was first discovered in the late seventies (Kendrick, 1978; Norman et al., 1979) but only recently Mizrach (1991), Amman and Kendrick (1995) and Tucci (1998) have returned to it showing that nonconvexities are fundamental in this type of models.1 They can occur even when there is only one state variable, one control variable, one unknown parameter and a time horizon of two periods as in the simple MacRae (1972) problem seen in Chapter 3 and 5.

Keywords

Time Horizon Unknown Parameter Adaptive Control Search Region Previous Chapter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2004

Authors and Affiliations

  • Marco P. Tucci
    • 1
  1. 1.Università di SienaItaly

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