Tohid

hi everyone, I have trained MLP neural network and identified my system with this network. for training, I have normalized all input data so the range of data that enters the network is changing from zero to one. for normalization, I have used this formula: {(Input(i)-min(input space))/(max(input space)-min(input space))}. now i want to use this network to control my system. the data that network generates is somehow normal and my system cannot accept these data. What should I do with this data? I have tried the reverse transformation but since system is working online the max and min of it is not known. anybody have any idea?