3 research outputs found
Optimal control of batch processes using particle swam optimisation with stacked neural network models
No full textOptimal Control of Batch Processes Using Particle Swam Optimisation with Stacked Neural Network Models
No full textPrediction interval-based modelling and control of nonlinear processes
Full text link Novel computational intelligence-based methods have been investigated to quantify uncertainties prevalent in the operation of chemical plants. A new family of predication interval-based controlling algorithms is proposed and successfully applied to chemical reactors in order to minimise energy consumption and operational cost
