Multiobjective Robust Control with HIFOO 2.0
Suat Gumussoy (KUL), Didier Henrion (LAAS, FEL-CVUT), Marc Millstone, (CIMS), Michael L. Overton (CIMS)

TL;DR
This paper presents a method for multiobjective robust control design using the HIFOO 2.0 toolbox, which searches for locally optimal solutions to complex nonsmooth optimization problems involving multiple plants.
Contribution
It introduces a practical approach and a Matlab toolbox for multiobjective control design, demonstrating success through comparisons with existing benchmarks.
Findings
Effective multiobjective control solutions found
HIFOO 2.0 outperforms some benchmarks
Approach handles multiple plants simultaneously
Abstract
Multiobjective control design is known to be a difficult problem both in theory and practice. Our approach is to search for locally optimal solutions of a nonsmooth optimization problem that is built to incorporate minimization objectives and constraints for multiple plants. We report on the success of this approach using our public-domain Matlab toolbox HIFOO 2.0, comparing our results with benchmarks in the literature.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Stability and Control of Uncertain Systems · Fault Detection and Control Systems
