2010
DOI: 10.1016/j.applthermaleng.2009.12.021
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Local balance-based adaptive control in the heat distribution system – Practical validation

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Cited by 30 publications
(9 citation statements)
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“…Experimental case-study in Ref. [9] validates the balance-based adaptive control. An on-line adaptive optimal control approach is presented in Ref.…”
Section: Introductionsupporting
confidence: 62%
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“…Experimental case-study in Ref. [9] validates the balance-based adaptive control. An on-line adaptive optimal control approach is presented in Ref.…”
Section: Introductionsupporting
confidence: 62%
“…The weight matrices (9) were also utilized in the RMPC algorithm to obtain fully comparable results. Both strategies were compared by evaluating the total consumption of coolant V C , which was needed for cooling the petroleum to the temperature 45.3 C in Case 1 and in Case 2 ( Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…Dochain & Vanrolleghem, 2001) and then transformed into the single dynamic equation that successively can be simplified to the desired form. The second method is directly based on the very general mass or energy conservation considerations written for the whole system in the form of the general mass or heat balance equation (Czeczot, 1998(Czeczot, , 2001(Czeczot, , 2006(Czeczot, , 2006a(Czeczot, , 2008, (Czeczot et al, 2010). Then, after simple recalculations that require only basic knowledge on the physical modelling of dynamic systems, this final dynamic equation can be rewritten to define the known part of Equation (1).…”
Section: Synthesis Of the Nonlinear B-bacmentioning
confidence: 99%
“…The generality of this control methodology is comparable with the generality of the conventional PI(D) controller, even if it requires simplified but unified process modelling and additional accessibility of the disturbances measurement data. The ability of the B-BAC to improve the closed-loop control performance of a wide range of different single-input single output (SISO) processes has been shown both by the simulation (Czeczot, 2001(Czeczot, , 2006(Czeczot, , 2006a(Czeczot, , 2008 and practical validation (Czeczot, Łaszczyk, & Metzger, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…[3], [4], [5]) and experimentally [11]. It is based on the general first order dynamical equation of the affine form, in which one time-varying parameter is included additively to represent all modelling uncertainties and inaccuracies.…”
Section: Introductionmentioning
confidence: 99%