摘要
针对局部可用非线性系统描述的复杂系统问题,基于T-S(Takageno-Sugeno)模糊模型,给出了一种设计非线性镇定控制器的方法。该方法所依赖的稳定性假定只涉及其中一个特定的模糊子系统和隶属函数的选取,而模糊规则库中的隶属函数可以依照一个明确的方向选择,所得到的非线性控制器依赖于隶属函数的选取,保证了全局模糊逻辑系统渐近稳定。通过仿真验证了该非线性控制器的有效性。
Consider complex systems which may be locally described by some certain nonlinear systems,a design algorithm of constructing stabilizing controller is proposed based on T-S fuzzy models. The results obtained depend only on the stability of a special fuzzy subsystem and membership functions. Using the proposed mathematical guidance one can choose the effective memberships of fuzzy rules. The nonlinear controllers obtained force the global fuzzy logic systems asymptotically stable. Finally, the validity of the design algorithm is illustrated by a simulation example.
出处
《吉林大学学报（信息科学版）》
CAS
2004年第4期352-354,共3页
Journal of Jilin University（Information Science Edition）
基金
广东省自然科学基金资助项目(032035)
内蒙古自然科学基金资助项目(200208020201)
关键词
复杂系统
T-S模糊模型
渐近稳定
非线性控制器
隶属函数
complex system
T-S fuzzy model
asymptotical stability
nonlinear controller
membership functions
