欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
对于一类具有三角结构的单输入单输出的不确定非线性系统,用反步法（backstepping）和动态面控制方法（dynamic surface control technique）设计了一种使用神经网络补偿未知非线性的L2--增益鲁棒控制器.控制器设计中没有直接解HJI（Hamilton-Jacobi-Isaac）不等式.合理的选择了L2--增益性能指标,将被控系统各个状态变量的跟踪误差和神经网络各权值的跟踪误差看作整个控制系统的各个状态变量,并用Lyapunov定理和HJI不等式证明了使用提出的控制器后,这些状态变量具有小于等于事先规定的正实数γ的L2--增益.当系统的扰动信号为零向量时,提出的控制器在原点是大范围渐近稳定的.仿真研究结果表明所提出的控制器具有很好的跟踪性能和很强的鲁棒性.
英文摘要：
For a class of uncertain SISO（single-input-single-output） nonlinear systems with triangle structure,the neural network L-two-gain robust controllers are designed using backstepping and dynamic surface control technique,instead of solving the HJI（Hamilton-Jacobi-Isaac） inequality directly.A reasonable performance indicator of L-two-gain is chosen.The tracking errors of the states of the controlled system and the weights of the neural network are taken as the state variables of the whole control system.The Lyapunov theory and HJI inequality are adopted to prove that the control system has the L-two-gain which is less than or equal to the prescribed positive number γ.When the disturbance signal is a zero vector,the proposed controllers are proved to be large-scale asymptotically stable at the origin.The simulation results indicate that the proposed approach has desirable tracking performance and strong robustness.
同期刊论文项目
同项目期刊论文
Multiobjective optimization of HEV fuel economy and emissions using the self-adaptive differential e
Rough neural network modeling based on fuzzy rough model and its application to texture classificati
A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive
A multiscale bi-Gaussian filter for adjacent curvilinear structures detection with application to va
Multi-Objective self-adaptive differential evolution with elitist archive and crowding entropy-based
On Global Robust Stability of a Class of Delayed Neural Networks with Discontinuous Activation Funct
Neural networks-based adaptive robust control of crawler-type mobile manipulators using sliding mode
期刊信息
位置：