论文标题
在Fe条件下，具有无与伦比不确定性的植物的指数收敛直接自适应杆放置控制
Exponentially Convergent Direct Adaptive Pole Placement Control of Plants with Unmatched Uncertainty under FE Condition
论文作者
论文摘要
一种直接自适应杆放置控制（APPC）的新方法是针对无与伦比的不确定性的植物开发的，该植物线性取决于状态向量。它保证了控制系统的指数稳定性以及在回归器有限的令人兴奋时，可将控制定律调节参数与其真实值的指数收敛。考虑到具有指数调控的已知经典APPC方案和自适应方法，提出的一种优势是，它不需要关于控制输入矩阵的先验信息，并确保控制法的每个可调参数的单调瞬态行为。理论结果由数值实验支持。
A new method of direct adaptive pole placement control (APPC) is developed for plants with unmatched uncertainty, which linearly depends on a state vector. It guarantees the exponential stability of a control system and exponential convergence of control law adjustable parameters to their true values when the regressor is finitely exciting. Considering the known classical APPC schemes and adaptive methods with exponential regulation, the advantages of the proposed one are that it does not require a priori information on a control input matrix and ensures the monotonic transient behavior of each adjustable parameter of the control law. The theoretical results are supported by the numerical experiments.
