The self-learning fuzzy control based on sliding mode control is applied to the attitude stabilization of flexible satellites.
将基于滑模控制的自学习模糊控制应用于挠性卫星的姿态稳定控制中。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
The other is ship course self-studying fuzzy control system, which is based on the learning mechanism of robot repetition control. The thesis analyses the system 's characteristic.
二是基于机器人重复控制的学习机理，提出了一种船舶航向自学习型模糊控制系统，分析了该系统的特点。
This paper presents a sliding mode variable structure control (SMVSC) method based on fuzzy self-learning for a direct-drive AC Lin ear servo system.
针对直接驱动直线式交流伺服系统，提出了一种基于模糊自学习的滑模变结构控制方案。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
A self learning fuzzy control algorithm is presented in this paper. The algorithm with a simplified fuzzy relation can save computation.
本文通过简化模糊控制算法中的模糊关系，建立了一种运算量少，易于实现实时控制的自学习模糊控制算法。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
Since the fuzzy observer has a strong subjectivity in fuzzy control rules, self-learning fuzzy velocity observer is produced to present detailed algorithm process.
由于模糊观测器的模糊控制规则主观性较强，因此设计自学习模糊速度观测器，并给出了详细的算法和流程。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Then, a DTC induction motor servo control simulation model is established, which adopts the self-learning fuzzy in velocity observer.
建立了伺服感应电动机DTC控制模型，其中速度观测器采用文中提出的自学习模糊速度观测器。
Then, a DTC induction motor servo control simulation model is established, which adopts the self-learning fuzzy in velocity observer.
建立了伺服感应电动机DTC控制模型，其中速度观测器采用文中提出的自学习模糊速度观测器。
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