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Model Predictive Control

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70 5 General Results for Multiparametric Nonlinear Programs.<br />

but has no continuous selection [17, pag. 29]. Let Λ be the unit disk in R 2 , define<br />

R(x) as<br />

x ∈ Λ ↦→ R(x) {z ∈ Λ : z − x2 ≥ 1<br />

} (5.11)<br />

2<br />

It can be shown that the point-to-set map R(x) in (5.11) is continuous according to<br />

Definition 5.3. In fact, for a fixed ¯x ∈ Λ the set R(¯x) is the set of points in the unit<br />

disk outside the disk centered in ¯x and of radius 0.5 (next called the half disk); small<br />

perturbations of ¯x yield small translations of the half disk inside the unit disk for<br />

all ¯x ∈ Λ. However R(x) has no continuous selection. Assume that there exists a<br />

continuous selection r : x ∈ Λ ↦→ r(x) ∈ Λ. Then, there exists a point x ∗ such that<br />

x ∗ = r(x ∗ ). Since r(x) ∈ R(x), ∀x ∈ Λ, there exists a point x ∗ such that x ∗ ∈ R(x ∗ ).<br />

This is not possible since for all x ∗ ∈ Λ, x ∗ /∈ R(x ∗ ) (recall that R(x ∗ ) is set of points<br />

in the unit disk outside the disk centered in x ∗ and of radius 0.5).<br />

Remark 5.4 Let Λ be the unit disk in R, define R(x) as<br />

x ∈ Λ ↦→ R(x) {z ∈ Λ : |z − x| ≥ 1<br />

}. (5.12)<br />

2<br />

R(x) is closed and not open and it has no continuous selection.<br />

Remark 5.5 Based on [17, Theorem 3.2.1-(I) and Theorem 3.3.3], the hypotheses of<br />

Theorem 5.1 can be relaxed for affine gi(z, x). In fact, affine functions are weakly<br />

analytic functions according to [17, definition on page 47]. Therefore, we can state<br />

that if Z is convex, if each component gi(z, x) of g(z,x) is an affine function, then<br />

R(x) is continuous at ¯x for all ¯x ∈ K ∗ .<br />

Properties of Value Function and Optimal Set<br />

Consider the following definition<br />

Definition 5.4 A point-to-set map R(x) is said to be uniformly compact near ¯x<br />

if there exist a neighborhood N of ¯x such that the closure of the set <br />

x∈N R(x) is<br />

compact.<br />

Now we are ready to state the two main theorems on the continuity of the value<br />

function and of the optimizer function.<br />

Theorem 5.2 [137, Theorem 7] Consider problem (5.3)–(5.4). If R(x) is a continuous<br />

point-to-set map at ¯x and uniformly compact near ¯x and if J is continuous<br />

on ¯x × R(¯x), then J ∗ is continuous at ¯x.<br />

Theorem 5.3 [137, Corollary 8.1] Consider problem (5.3)–(5.4). If R(x) is a<br />

continuous point-to-set map at ¯x, J is continuous on ¯x × R(¯x), Z ∗ is nonempty<br />

and uniformly compact near ¯x, and Z ∗ (¯x) is single valued, then Z ∗ is continuous<br />

at ¯x.

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