分布式多输入系统的自律鲁棒自适应分散控制

为了实现一类分布式多输入系统的分散鲁棒自适应控制, 基于状态扩张和反演干扰抑制控制, 提出一种自律鲁棒自适应分散控制的新方法. 结合直接反馈线性化和最优控制, 给出了自律最优鲁棒自适应分散控制的设计方法. 仿真结果表明, 所提出方法能够有效实现各子系统的自律鲁棒稳定、全系统整体鲁棒稳定和不确定参数自适应, 同时通过求解LMI, 具备了最优干扰抑制的功能.

Autonomous robust adaptive decentralized control for distributed multi-input system

In order to realize the decentralized robust adaptive control for a class of the distributed multi-input system(DMIS), based on the state extending and back-stepping diturbance attenuation method, a new autonomous robust adaptive decentralized control method is proposed. Based on the direct feed-back linearization and the optimal control method, the optimal autonomous robust adaptive decentralized control method is realized. Simulation results show that the proposed method can stabilize the DMIS, be adaptive to the uncertain parameters and can be applied to minimize the impact of disturbance by solving the LMI to obtain the optimal control law against the worst disturbance.