A class of unknown nonlinear systems subject to uncertain actuator faults and external disturbances will be studied in this paper with the help of fuzzy approximation theory. Using backstepping technique, a novel adaptive fuzzy control approach is proposed to accommodate the uncertain actuator faults during operation and deal with the external disturbances though the systems cannot be linearized by feedback. The considered faults are modeled as both loss of effectiveness and lock-in-place (stuck at some unknown place). It is proved that the proposed control scheme can guarantee all signals of the closed-loop system to be semi-globally uniformly ultimately bounded and the tracking error between the system output and the reference signal converge to a small neighborhood of zero, though the nonlinear functions of the controlled system as well as the actuator faults and the external disturbances are all unknown. Simulation results demonstrate the effectiveness of the control approach.
＜正＞A novel adaptive fuzzy control method is proposed in this paper for a class of nonlinear disturbed systems ...
Ping Li~(1,2),Fujiang,Jin~1 1.College of Information Science and Engineering,Huaqiao University,Xiamen,361021 2.School of Information Science and Engineering,Northeastern University,Shenyang,110004
以常用重叠交替更新过程为对象模型,讨论了离散时间仿真(Discrete time system specification,DTSS)校验的两个理论问题.首先,给出了基于仿真关键系统变量方差的输入/输出级仿真精度的定量度量.其次,针对精度度量难以求解的问题,在Zeigler的仿真理论框架下给出了离散时间仿真和离散事件仿真(Discrete event system specification,DEVS)的等价性证明,并根据这个结果给出了仿真误差度量的一种近似表达式.
