[1]HUANG Zhong-bao,L I Shi-yong.A nonlinear controller design using an immune clonal selection algor ithm[J].CAAI Transactions on Intelligent Systems,2008,3(5):408-415.
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A nonlinear controller design using an immune clonal selection algor ithm
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 5
Page number:
408-415
Column:
学术论文—智能系统
Public date:
2008-10-25
- Title:
- A nonlinear controller design using an immune clonal selection algor ithm
- Keywords:
- m2ICSA; nonlinear controller; parameter op timization
- CLC:
- TP273
- DOI:
- -
- Abstract:
- A nonlinear controller based on a fuzzy neural network ( FNN) and linear error feedback was construc2 ted. But the difficulty in nonlinear controller design lies in identification of the parameters being controlled. Op timi2 zation of the parametersmay lead to a local convergence if traditionalmethods are used, resulting in unreliable op2 eration. We therefore developed a modified immune clonal selection algorithm (m2ICSA) to op timize parameters of the nonlinear controller. A simulation with an inverted pendulum demonstrated that the m2ICSA effectively op timi2 zes controller parameters and the design has strong nonlinear adap tive ability
- References:
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Last Update:
2009-05-18