Research of fuzzy neural networks IMC for greenhouse environment

The greenhouse environment is a complex dynamic system, where the classical control is limited in application. The fuzzy neural network has a good ability of processing fuzziness and uncertainty, while the internal model control (IMC) has good robustness and stability. The authors design a control method for greenhouse environment by using the distinguishing features of fuzzy networks and IMC. The method has a internal model controller of fuzzy networks and a internal model of BP neural networks. The experiment shows that the control method not only can process the fuzziness and uncertainty of greenhouse environment, but also has a good robustness, stability and tolerance.