Article | REF: AF1400 V1

Numerical aspects of linear control

Author: Claude BREZINSKI

Publication date: April 10, 2007

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12. Optimum control

The control problem can be solved in two different ways: pole placement, studied in paragraph 9.3, and optimal control, which consists in finding u that minimizes a certain functional. Depending on the choice of functional, there are several optimal control problems.

  • Iterative Learning Control (ILC) consists in making y as neighborly as possible to a given function f. This leads to the minimization problem min u ││y – f ││.

    Since y = Cx, this problem is implicitly equivalent to solving the system of linear equations: Cx = f, i.e. C T Cx = C T f.

    In general, this system is ill-conditioned, and a small variation in the data f can lead to a large variation in...

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