Title: Multi-objective optimization techniques in control systems engineering
Track proposed by: Gilberto Reynoso-Meza (Pontificia Universidade Catolica do Parana), Helem Sabina Sánchez (Universitat Autonoma de Barcelona), Javier Sanchis (Universitat Politecnica de Valencia), Ramon Vilanova (Universitat Autonoma de Barcelona)
Abstract: Control engineering problems are generally multi-objective problems; that means that there are several specifications and requirements that must be fulfilled, often in conflict. A traditional approach for calculating a solution with a desired trade-off is defining an optimization statement. Multi-objective optimization techniques deal with such problem from a particular perspective by searching for a set of potentially preferable solutions: the so called Pareto set. The designer may then analyse the trade-off among solutions in this set, and select the most preferable alternative according to the problem at hand. The aim of this open track is to provide the opportunity among practitioners to exchange ideas and to share potential applications of multi-objective optimization techniques in control systems engineering. This track focuses on using or extracting information from a Pareto front approximation, in order to solve a control problem. Topics covered (but not limited to) include insights, tools and theoretical developments on:
- Multi-objective problem definition
- Multi-objective optimization process
- Multi-criteria decision making stage
- Control applications
Web site: none
Code for submitting contributions: 6ad17
More about submitted open invited tracks at www.ifac2017.org/OIT
Precisions about Invited Sessions and Open Invited Tracks at www.ifac2017.org/invited
