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<dc:creator>Calvo Rolle, José L.</dc:creator>
<dc:creator>Couce, A.</dc:creator>
<dc:creator>Corchado Rodríguez, Emilio Santiago</dc:creator>
<dc:creator>Sánchez, Miguel A.</dc:creator>
<dc:creator>Gil González, Ana Belén</dc:creator>
<dc:date>2010-12</dc:date>
<dc:description>This study presents a novel bio-inspired method, based on gain scheduling, for the calculation of Proportional-Integral-Derivative (PID) controller parameters that will prevent system instability. The aim is to prevent a transition to control system instability due to undesirable controller parameters that may be introduced manually by an operator. Each significant operation point in the system is firstly identified. Then, a solid stability structure is calculated, using transfer functions, in order to program a bio-inspired model by using an artificial neural network. The novel method is empirically verified under working conditions in a liquid-level laboratory plant.</dc:description>
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<dc:identifier>http://hdl.handle.net/10366/134917</dc:identifier>
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<dc:publisher>IEEE</dc:publisher>
<dc:title>A bio-knowledge based method to prevent control system instability</dc:title>
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