Copertina di Quadratic Distance Approach to Robust Multi-Objective Control
Titolo del libro:

Quadratic Distance Approach to Robust Multi-Objective Control

Quadratic Distance To Robust Multi-Objective Control

LAP LAMBERT Academic Publishing (29.11.2011 )

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Risvolto di copertina:
Most practical systems and control problems are pure multi-objective problems. Multi-objective or vector-objective optimization problem is characterized by the partial ordering of its solution space. This, unlike in single objective optimization problem, leads to the notion of non-inferiority and the Pareto-optimal solution set. As it has been observed that the vector-optimization problem translates to a scalar optimization problem if a functional that completely orders the solution space can be found. A very important question in the transformation of the vector optimization problem into a scalar optimization problem-form that needs to be answered is that of the equivalence of the scalar problem and the original vector problem. The book proposed a scalarization function which is a sum of squares of the objective functionals. This reduces the vector optimization problem to a quadratic distance problem or the intersection ellipsoid of minimum volume with the trade-off surface. This method has been applied to pure and robust multi-objective Linear Quadratic Regulator (LQR) problem, and to mixed-norm multi-objective problem.
Casa editrice:
LAP LAMBERT Academic Publishing
Sito Web:
Da (autore):
Abimbola Jubril
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Giacenza di magazzino:
68,00 €
Parole chiave:
Quadratic distance problem, H2, h-infinity, Multi-objective optimization, Robust Control, Linear Matrix Inequalities, semi-definite program, H Infinity, semi- definite programming

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