id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_6fsgua7v2bf3bhu2cimvomab7m	Gilberto Reynoso-Meza	Multiobjective evolutionary algorithms for multivariable PI controller design	2012	32	.pdf	application/pdf	8032	1536	76	Multiobjective evolutionary algorithms for multivariable PI controller design. A multiobjective optimisation engineering design (MOED) methodology for useful technique for parametric controller tuning in multivariable processes. New PI-PID controller tuning techniques mainly search for a trade-off solution among several control and operational requirements. In an MOP, the designer (control engineer) has to deal with a list of requirements and searches for a solution with a desired trade-off (preferences) of MOO is presented; in Section 3 a multiobjective optimisation engineering design (MOED) methodology for multivariable PI controller tuning is A multiobjective optimisation engineering design (MOED) methodology is shown in Figure 4. 3. Multiobjective optimisation engineering design applied to multivariable PI controller tuning It defines a given value of the maximum sensitivity function as a design constraint Ms = max complicated to perform a practical analysis in the Pareto front approximation, or select a solution with a desired trade-off. Controller tuning using multiobjective optimisation algorithms: a	./cache/work_6fsgua7v2bf3bhu2cimvomab7m.pdf	./txt/work_6fsgua7v2bf3bhu2cimvomab7m.txt