Title :
Two layer iterative multi-objective compatible control algorithm
Author :
Xu, Lihong ; Hu, Qingsong ; Goodman, Erik D.
Author_Institution :
Michigan State Univ., East Lansing
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;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434416
