@article {Boeira:Bordignon:eckhard:Campestrini:2018,
	title = {Comparing MIMO Process Control Methods on a Pilot Plant},
	journal = {Journal of Control, Automation and Electrical Systems},
	volume = {29},
	number = {4},
	year = {2018},
	note = {n/a},
	month = {Aug},
	pages = {411{\textendash}425},
	abstract = {<p>This work presents a comparison among three different control strategies for multivariable processes. The techniques were implemented in a pilot plant with coupled control loops, where all steps used to design the controllers were described allowing to establish a trade-off between algorithm complexity, information needed from the process and achieved performance. Two data-driven control techniques are used: multivariable ultimate point method to design a decentralized PID controller and virtual reference feedback tuning to design a centralized PID controller. A mathematical model of the process is obtained and used to design a model-based generalized predictive controller. Experimental results allow us to evaluate the performance achieved for each method, as well as to infer on their advantages and disadvantages.</p>
},
	issn = {2195{\textendash}3899},
	doi = {10.1007/s40313-018-0387-6},
	author = {E. Boeira and Bordignon, V. and D. Eckhard and L. Campestrini}
}
