Fitting controllers to data

The problem of optimally fitting controllers to data is formulated and solv ed. This formulation is applied to the case in which the class of controlle rs considered is the same as the one used in model reference adaptive contr ol problem and in which we minimize the induced norm of the control error. The solution to this problem, besides illustrating an use of the saying "le t the data speak" to its extremes, gives a robustness-oriented perspective on model reference adaptive control. (C) 2001 Elsevier Science B.V. All rig hts reserved.