一类非仿射非线性大系统的结构在线扩展

研究一类非仿射非线性互联大系统的结构在线扩展问题。基于backstepping技术提出一种大系统在线结构扩展的自适应神经分散关联镇定控制方法。在原结构系统控制器保持不变的前提下,利用神经网络自适应技术设计新加入子系统的分散控制律和自适应律,将新加入子系统后原结构系统产生的互联部分放在新子系统的控制器中处理,从而获得新扩展子系统的自适应分散关联镇定控制器。该控制器可以保证新加入的闭环非仿射非线性子系统及整个扩展后的闭环大系统中所有信号是一致最终关联有界的。仿真结果验证了所提控制方法的有效性。

Construction expansion online for a class of nonaffine nonlinear large-scale systems

The problem of construction expansion online was studied for a class of nonaffine nonlinear interconnected large-scale systems. An adaptive neural decentralized connective stabilization method was proposed for expansion online of large-scale systems based on backstepping technique. By using neural network adaptive technique, the decentralized controller of the newly added subsystem was designed under the condition that the decentralized control laws and adaptive laws of the original system were kept to be unchanged. The interconnection parts caused the a new subsystem were dealt with in the controller of the new subsystem. An adaptive decentralized connective stabilization controller for the newly added subsystem was obtained. The controller could ensure that all the signals both in the newly added closed-loop nonaffine subsystem and the resultant expanded closed-loop large-scale system were uniformly ultimately connective bounded. The simulation results were given to verify the effectiveness of the proposed control method.