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Talk:H-infinity methods in control theory

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This is an old revision of this page, as edited by AndyHazell (talk | contribs) at 12:48, 16 August 2005. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

It's somewhat misleading to refer to this as a tool for finding optimal controllers. Technically, it is correct, since we are trying to minimize the error outputs z and hence we introduce some notion of optimality. However, especially in relation to robust control, controllers tend to be quite conservative and suboptimal in practical senses (tending to be sluggish and/or high-order controllers) - since the underlying problem is to find a stabilizing controller for a whole set of plants. I thought I should open this as discussion rather than edit the page since it's more of a semantics argument than a cut-and-dry technical change. M0nstr42, 05:46, 16 Jun 2005 (UTC)

Optimal controller design is the process of choosing a controller which minimises some cost function. In the case of control, the cost we are trying to minimise is the norm of the closed loop system. However, as with all engineering problems, achieving optimality according to one performance measure will inevitably lead to compromises in other performance measures e.g. speed of response or controller order. In my opinion, such compromises should not prevent us from calling our based design "optimal"AndyHazell 12:48, 16 August 2005 (UTC).[reply]