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Assessment and Future Directions of Nonlinear Model Predictive ...

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338 L. BlankThis is a non trivial task but will not be discussed in this paper, instead we referto the literature, e.g. [8].Now let us assume that Kx = y is a well-posed problem. Then K −1 exists<strong>and</strong> is bounded with respect to the chosen norms. That means, the equation isstable, which is a qualitative statement. The mathematical concept <strong>of</strong> conditionnumber is quantitative. It measures the possible error propagation with respectto the absolute or relative error [7].Definition 2. Considering the problem given y determining the solution x <strong>of</strong>Kx = y <strong>and</strong> let ‖ỹ − y‖ Y → 0:1. the absolute condition number is the smallest number κ abs (y) > 0 with‖˜x − x‖ X = ‖K −1 ỹ − K −1 y‖ X ≤ κ abs (y)‖ỹ − y‖ Y + o (‖ỹ − y‖ Y ) ,2. the relative condition number is the smallest number κ rel (y) > 0 with‖˜x − x‖ X /‖x‖ X ≤ κ rel (y)‖ỹ − y‖ Y /‖y‖ Y + o (‖ỹ − y‖ Y /‖y‖ Y ) .The problem is called well-conditioned if κ is small <strong>and</strong> ill-conditioned for largeκ. For linear K we haveκ abs (y) ≤‖K −1 ‖ Y →X <strong>and</strong> κ rel (y) ≤‖K‖ X→Y ‖K −1 ‖ Y →X .If K is a matrix, the condition number is defined as the latter namely cond(K) :=‖K‖‖K −1 ‖, where commonly the l 2 -norms are used.2.2 Observability MeasureFor state estimation on the horizon [t 0 ,t 0 + H] the operator K : x 0 ↦−→ y isgiven by the model equations:State equations: Gẋ − f(x, u, p) =0, x(t 0 )=x 0 (1)Output equations: y − Cx =0 (2)The system (1)-(2) is called observable, if for any given u <strong>and</strong> p the initial statex 0 can be uniquely determined from the output y [11]. Hence, K : x 0 ↦−→ yis injective for fixed u, p <strong>and</strong> K −1 exists on R(K). The space X is the finitedimensionalspace IR nx . Observability is the qualitative behaviour that a differencein the states shall be seen in the outputs. The observability measure shallquantify this statement, hence we consider‖y − ỹ‖ ≥c‖x 0 − ˜x 0 ‖or a relative measurement independent <strong>of</strong> the scaling‖y − ỹ‖/‖y‖ ≥c‖x 0 − ˜x 0 ‖/‖x 0 ‖.As larger c as better the observability measure. This suggest the use <strong>of</strong> thecondition number κ =1/c <strong>of</strong> the problem given y determining the solution <strong>of</strong>Kx 0 = y. The evaluation <strong>of</strong> the conditioning is mentioned also in [1] in preferenceto the yes/no answer <strong>of</strong> observability.Definition 3. The absolute <strong>and</strong> the relative measure <strong>of</strong> observability <strong>of</strong> x 0 aredefined as 1/κ abs <strong>and</strong> 1/κ rel .The system is called well observable for x 0 ,ifκ =1/c is small, <strong>and</strong> has a low observability measure for large κ.

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