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针对不确定非线性生物系统—W illis环状脑动脉瘤系统,利用高斯型模糊逻辑系统的逼近能力及新构造的Lyapunov函数,基于模糊建模提出了一种自适应模糊控制器设计的新方案.该方案把逼近误差引入到控制器设计条件中用以改善系统的动态性能.不但设计简单还保证了控制方法的鲁棒性与稳定性.通过反向传播算法调整模糊基函数参数及递归最小二乘法调整参数向量,θ更新控制律,实现了理想跟踪.从理论上研究了脑动脉瘤内血流速度的非线性行为及控制,具有实际意义.仿真结果表明该控制方法的有效性.
Aiming at the ill-defined nonlinear biological system-W illis annular cerebral aneurysm system, a new scheme of adaptive fuzzy controller design based on fuzzy modeling is proposed by using the approximation ability of Gaussian fuzzy logic system and the newly constructed Lyapunov function The scheme introduces the approximation error into the controller design conditions to improve the dynamic performance of the system.It not only simplifies the design but also ensures the robustness and stability of the control method.Adopting the backpropagation algorithm to adjust the fuzzy basis function parameters and the minimum recursion Which can adjust the vector of parameters and update the control law with θ to realize the ideal tracking.It is of practical significance to study the nonlinear behavior and control of blood flow velocity in cerebral aneurysms theoretically.The simulation results show the effectiveness of the control method.