Combined H∞/H2 controller design and optimal selection of sensors and actuators
Autor: | Goele Pipeleers, Jan Swevers, Wilm Decré, Taranjitsingh Singh, Massimo De Mauri |
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Rok vydání: | 2018 |
Předmět: |
Controller design
H_inf/H2 control 0209 industrial biotechnology Computer science 02 engineering and technology 01 natural sciences Column (database) 020901 industrial engineering & automation Control and Systems Engineering Control theory KUL-CoE-Optec Big-M reformulation 0103 physical sciences DYSCO Sensor and Actuator Selection Mixed Boolean Semi-Definite Programming (MBSDP) Actuator ROCSIS 010301 acoustics Selection (genetic algorithm) |
Zdroj: | IFAC-PapersOnLine. 51:73-77 |
ISSN: | 2405-8963 |
DOI: | 10.1016/j.ifacol.2018.11.084 |
Popis: | This paper presents a systematic framework to combine Hinf/H2 dynamic output feedback controller design and economic selection of sensors and actuators for continuous linear time-invariant multi-variate systems. This combined design is formulated as a Mixed Boolean Semi-Definite Programming (MBSDP) problem. Big-M reformulations are performed on the input and output matrices of the dynamic controller to yield column and row sparsity respectively. A numerical example is considered which illustrates the potential of the developed framework. The results obtained from this approach indicate a trade-off between the economic cost related to sensors and actuators and the closed-loop performance of the systems. ispartof: pages:73-77 ispartof: IFAC Proceedings Volumes (IFAC-PapersOnline) vol:51 issue:25 pages:73-77 ispartof: IFAC Symposium on Robust Control Design location:Florianopolis, Brazil date:3 Sep - 5 Sep 2018 status: Published online |
Databáze: | OpenAIRE |
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