This paper proposes a simple adaptive control (SAC) system design approach for processes with uncertain time delay and Affine linear structured uncertainty.
讨论了具有不确定性时滞及仿射结构不确定系统的简易自适应控制问题。
A sampled-data control system approach is presented to a class of affine nonlinear networked control systems described by a hybrid dynamic system model.
利用采样数字控制系统的方法分析了一类混杂动态系统模型描述的仿射非线性网络控制系统的稳定性问题。
The interconnection and damping assignment passivity-based control (IDA-PBC) methodology is extended to solve the regulation problem of affine nonlinear differential algebraic system.
将连接与阻尼分配？无源控制方法进行从常微分方程到微分代数方程的拓展，求解一类仿射非线性微分代数系统的调节问题。
This differential inclusion system is described by a non-affine system with uncertainty. Based on the dissipation inequality, the robust control for such a non-affine uncertain system is analysed.
首先用一非仿射不确定系统来描述这一微分包含系统，基于耗散理论分析了这一类非仿射不确定系统的鲁棒控制问题。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
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