Compensation control of supply duct’s static-pressure using linear neural network in VAV systems

 Based on the self-learning and nonlinearity approximation ability of linear neural network, puts forward a compensation control method. This method can achieve compensation control by adjusting the variable adaptively according to the variation of coupled elements. Presents the online learning method of neuron weights and validates it with an experiment.