Abimbola Jubril

Quadratic Distance Approach to Robust Multi-Objective Control

Quadratic Distance To Robust Multi-Objective Control

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Aufl.
• Seitenzahl: 188
• Erscheinungstermin: 29. November 2011
• Englisch
• Abmessung: 220mm x 150mm x 12mm
• Gewicht: 298g
• ISBN-13: 9783846593691
• ISBN-10: 3846593699
• Artikelnr.: 34536400

Autorenporträt

Abimbola M. Jubril received the B.Sc., M.Sc., and Ph.D. degrees in electronic and electrical engineering from the Obafemi Awolowo University, Ile-Ife, Nigeria, where he currently lectures.His research interests include Robust Control, Application of Multi-objective Optimization in Control and Power Systems, and Instrumentation Systems.