Two layer iterative multi-objective compatible control algorithm

Author

Xu, Lihong ; Hu, Qingsong ; Goodman, Erik D.

Author_Institution

Michigan State Univ., East Lansing

fYear

2007

fDate

12-14 Dec. 2007

Firstpage

2992

Lastpage

2997

Abstract

A two-layer multi-objective compatible control algorithm is proposed for a class of conflicting multi-objective control problems. The first layer is devoted to obtaining a user´s desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to achieve the objectives subject to system constraints from the controlled objectives region in the first layer by an iterative genetic optimization algorithm. Simulation illustrates that the two-layer multi-objective compatible control algorithm is effective for conflicting multi-objective control problem.

Keywords

Pareto optimisation; genetic algorithms; iterative methods; optimal control; Pareto-optimal; controlled objectives region; iterative genetic optimization algorithm; system constraints; two-layer multiobjective compatible control algorithm; Computer errors; Constraint optimization; Control systems; Energy consumption; Error correction; Heating; Humidity; Iterative algorithms; Power engineering and energy; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2007 46th IEEE Conference on

Conference_Location

New Orleans, LA

ISSN

0191-2216

Print_ISBN

978-1-4244-1497-0

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2007.4434416

Filename

4434416