[1]ZHAO Xiao-fei,ZHANG Jing-gang.A fuzzy control method for flexiblejoint inverted pendulums[J].CAAI Transactions on Intelligent Systems,2010,5(4):347-352.
                                
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                                    CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
                                    5
                                    Number of periods:
                                    2010 4
                                    Page number:
                                    347-352
                                    Column:
                                    学术论文—智能系统
                                    Public date:
                                    2010-08-25
                                
                                
                                    - Title:
- 
                                        A fuzzy control method for flexiblejoint inverted pendulums
                                    - Author(s):
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                                        ZHAO Xiao-fei;  ZHANG Jing-gang
- 
                                        School of Electronics Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China 
- 
                                
                                    - Keywords:
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                                        linear singlestage flexiblejoint inverted pendulum;  fuzzy controller;  fusion function;  fuzzy rule
                                    - CLC:
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                                        TP273
                                    - DOI:
- 
                                        -
                                    - Abstract:
- 
                                        Modeling of a linear singlestage flexiblejoint inverted pendulum involves multiple interacting variables. A novel fuzzy control method was proposed that would solve the rule explosion problem by applying a fusion function. The feedback gain matrix, which makes the system stable, was calculated using optimal control theory. Then the fusion function was constructed with a feedback gain matrix which reduced the dimensions of variables passed to the fuzzy controller. Simulations and practical experiments were conducted. The results showed the validity and correctness of the method.