Generalised Predictive Control (GPC) Integrates with Fuzzy Logic Control to Regulate Neuromuscular Blockade
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Abstract Many synergisms have been described in the past between intelligent control systems approaches such as Neural Networks, Fuzzy Logic, and Genetic Algorithms and have been Shown not only to work well but also to add more robustness to the control system in question. In this paper, a new form of synergism is demonstrated between a mathematical model-based approach represented by the popular Generalised Predictive Control (GPC) algorithm and an intelligent control approach in the fonn of Self-Qrganising Fuzzy Logic Control (SOFLC). The new algorithm named Predictive Self-Qrganising Fuzzy Logic Control (PSOFLC) is applied to the muscle relaxation process and is shown to perfonn better than the SOFLC in terms of set-point tracking, fleXIbility, and nwnber of rules generated.
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