1981
DOI: 10.1016/0005-1098(81)90093-5
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Identification and adaptive control of a glass furnace

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Cited by 30 publications
(11 citation statements)
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“…In this section, first the control objective is formulated in a general way for a class of nth order single input single output (SISO) systems and then the adaptation strategy has been designed for the air heater process as in (3). Let us consider that, the objective is to design an adaptive strategy for an nth order SISO non-linear plant given as [12,17]: where f(·) is an unknown continuous function, u ∈ R and y ∈ R are the input and output of the plant, and b is an unknown positive constant.…”
Section: Design Of Stable Adaptive Fuzzy Controllers For Air Heater Pmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, first the control objective is formulated in a general way for a class of nth order single input single output (SISO) systems and then the adaptation strategy has been designed for the air heater process as in (3). Let us consider that, the objective is to design an adaptive strategy for an nth order SISO non-linear plant given as [12,17]: where f(·) is an unknown continuous function, u ∈ R and y ∈ R are the input and output of the plant, and b is an unknown positive constant.…”
Section: Design Of Stable Adaptive Fuzzy Controllers For Air Heater Pmentioning
confidence: 99%
“…In industrial thermal processes, sometimes it is a difficult task to place the temperature sensor at a location close to the heating element, such as in different furnaces [1][2][3][4]20]. Thus due to the physical separation between the sensors and the heating element a transport-delay is introduced in the thermal process.…”
Section: Introductionmentioning
confidence: 99%
“…els become available testing of controllers can be done on simple test models derived from first principles or identified by using input-output data from the GTM or a real furnace. Identification of input-output data ( (Haber et al, 1981), (Ljung, 1987), (Wertz and Demeuse, 1987), (Wertz et al, 1992)) will lead to better models for a particular furnace in a certain operating range but it can only be applied in that range and for that furnace. Here a simple model is proposed that may be useful for:…”
Section: Models For the Glass Melting Furnacementioning
confidence: 99%
“…Haber et al [3] developed and tested a multi loop adaptive control scheme for crown temperature, pressure and glass This level. Werts and Demeuse [10] described the application of a cascade adaptive controller for bottom temperature control.…”
Section: Introductionmentioning
confidence: 99%