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The process of combined cycle power plant(CCPP) is characterized by nonlinearity and uncertainty. While model predictive control has been widely used in CCPP, incorporating of constraints is a major problem. Considering a supervisory control structure, this work presents nonlinear constraint predictive control by introducing of neuro-fuzzy networks(NFNs) representing a nonlinear dynamical process...
In unit steam-boiler generation, a coordinated control strategy is required to ensure a higher rate of load change without violating thermal constraints. The process is characterized by nonlinearity and uncertainty. While neural networks can model highly complex nonlinear dynamical systems, they produce black box models. This has led to significant interest in neuro-fuzzy networks (NFNs) to represent...
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