Abstract
Aimed at the puzzle of parameter tuning the paper proposed a model of parameter tuning based on immune theory. It defined the antibody, antigen and fitness of the parameter tuning,and explored the process of parameter immune tuning, and also described tuning method. Finally it took a high-order process as an example, and simulated a higher-order object. The simulation results show that it is better in dynamic and steady performance, and more effective in tuning method.
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Chen, H., Qin, Rc., Huang, W., Qiao, Zh. (2009). An Immune Based Optimization Tuning Method for Controller Parameter. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_22
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DOI: https://doi.org/10.1007/978-3-642-03664-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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