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EVALUATING SOME GAIN SCHEDULING STRATEGIES IN DIAGNOSIS OF A TANK SYSTEM

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Τίτλος: EVALUATING SOME GAIN SCHEDULING STRATEGIES IN DIAGNOSIS OF A TANK SYSTEM
Συγγραφείς: Marcus Klein, Lars Nielsen
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.fs.isy.liu.se/Publications/Articles/SAFE_00_56_MK.pdf.
Συλλογή: CiteSeerX
Θεματικοί όροι: Nonlinear diagnosis, Minimal polynomial basis, Water-tank system, Residual generation, Null-space redesign
Περιγραφή: In model-based diagnosis the problem of finding all the relations that can be used to detect and isolate different faults, is solved for linear systems. However, for nonlinear systems the situation is more complicated. Here an approach will be taken using a linear method together with gain scheduling. Linear residual generators are designed at a number of stationary points. The approach is based on using a nominal selector matrix, using null-space redesign dependent on the scheduling variable, and using a proposed optimization method. Two different gain scheduling strategies are applied to form the residual generators between design points, namely nearest neighbor approximation and linear interpolation. The approach is applied to a simple nonlinear system consisting of two coupled water tanks. The simulations show that the performance of the residual generators are good under steady state conditions. It is also shown that linear interpolation has better performance than nearest neighbor approximation. Copyright c○2000 IFAC
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.7556; http://www.fs.isy.liu.se/Publications/Articles/SAFE_00_56_MK.pdf
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.7556
http://www.fs.isy.liu.se/Publications/Articles/SAFE_00_56_MK.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.98A96749
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  Data: EVALUATING SOME GAIN SCHEDULING STRATEGIES IN DIAGNOSIS OF A TANK SYSTEM
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  Data: In model-based diagnosis the problem of finding all the relations that can be used to detect and isolate different faults, is solved for linear systems. However, for nonlinear systems the situation is more complicated. Here an approach will be taken using a linear method together with gain scheduling. Linear residual generators are designed at a number of stationary points. The approach is based on using a nominal selector matrix, using null-space redesign dependent on the scheduling variable, and using a proposed optimization method. Two different gain scheduling strategies are applied to form the residual generators between design points, namely nearest neighbor approximation and linear interpolation. The approach is applied to a simple nonlinear system consisting of two coupled water tanks. The simulations show that the performance of the residual generators are good under steady state conditions. It is also shown that linear interpolation has better performance than nearest neighbor approximation. Copyright c○2000 IFAC
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      – SubjectFull: Minimal polynomial basis
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      – SubjectFull: Water-tank system
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