A many grades hybrid adaptive controller is designed, the problem that high step and complicate controlled object is unstable in tradition adaptive control system is solved.
设计了一种多极混合自适应控制器，解决了高阶复杂被控对象在以往的自适应控制中出现的不稳定问题。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
In this paper, a generalized predictive adaptive control algorithm based on multi-step regressive predication is presented.
提出了一种基于多步递推预测的广义预测自适应控制算法。
In this paper, an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response.
针对单调阶跃响应的单变量系统，提出一种基于简化模型的自适应预测控制算法。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.
所以我们又给出一种自适应修正自然梯度算法，用一个合适的距离测度函数来控制步长和动力因子。
So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.
所以我们又给出一种自适应修正自然梯度算法，用一个合适的距离测度函数来控制步长和动力因子。
应用推荐