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Appendix 16.2: Derivation of the Least Squares Solution for Control Moves

The objective function is

graphics/16equ39f.gif


Expanding the objective function, we find

graphics/16equ39g.gif


Unconstrained System

The minimization with respect to the control move vector, when there are no constraints, is

graphics/16equ39h.gif


and solving for Duf we find

Equation 16.23

graphics/16equ39i.gif


Constrained System

The objective function for a constrained system is no different than the unconstrained

graphics/16equ39j.gif


but this is often written in the following form

graphics/16equ36.gif


and since

graphics/16equ39k.gif


the objective function in the form of most quadratic programs is

graphics/16equ39l.gif


and

graphics/16equ39m.gif


The constraints

graphics/16equ39n.gif


are shown in Section 16.4.

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