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Model Predictive Control

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5.1 General Results for Multiparametric Nonlinear Programs 67<br />

z 2<br />

g1( z1, z2)= x1 g2( z1, z2)= x1 (a) Set R(¯x1) shaded in gray.<br />

z 2<br />

g1( z1, z2)= x3 g2( z1, z2)= x3 (c) Set R(¯x3) shaded in gray.<br />

z 1<br />

z 1<br />

z 2<br />

g1( z1, z2)= x2<br />

g2( z1, z2)= x2<br />

(b) Set R(¯x2) shaded in gray.<br />

x 1<br />

J x<br />

*<br />

( )<br />

x 3<br />

(d) Value function J ∗ (x)<br />

Figure 5.3 Example 5.4: problem (5.10). (a)-(c) Projections of the point-toset<br />

map R(x) for three values of the parameter x: ¯x1 < ¯x2 < ¯x3; (d) Value<br />

function J ∗ (x).<br />

• in example 5.2 the feasible vector space Z is unbounded (z ≥ 0),<br />

• in examples 5.3 and 5.4 the feasible point-to-set map R(x) (defined in (5.4))<br />

is discontinuous, as precisely defined below.<br />

In the next sections we discuss both cases in detail.<br />

Continuity of Point-to-Set Maps<br />

Consider a point-to-set map R : x ∈ X ↦→ R(x) ∈ 2 Z . We give the following<br />

definitions of open and closed map according to Hogan [137]:<br />

z 1<br />

x

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