中国科学院机构知识库网格系统: 检索

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	Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 OAI收割 IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157 作者: Xiong, Tianyi; Pu, Zhiqiang; Yi, Jianqiang; Tao, Xinlong \| 收藏 \| 浏览/下载：51/0 \| 提交时间：2020/07/06 neurocontrollers multi-agent systems Lyapunov methods closed loop systems nonlinear control systems time-varying systems adaptive control observers uncertain systems position control radial basis function networks robust control control system synthesis learning (artificial intelligence) minimal learning-parameter approach fixed-time CLSO time-varying formation tracking problem formation tracking control scheme multiagent systems time-varying formation tracking control problem model uncertainties velocity measurements radial basis function neural networks fixed-time cascaded leader state observer fixed-time observer-based adaptive neural network time-varying formation tracking control RBFNN-based adaptive control scheme
	Application of the radial basis function neural network to the short term prediction of the Earth's polar motion 期刊论文 OAI收割 STUDIA GEOPHYSICA ET GEODAETICA, 2018, 卷号: 62, 期号: 2, 页码: 243-254 作者: Wang, Guocheng; Liu, Lintao; Tu, Yi; Xu, Xueqing; Yuan, Yunbin \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/05/23 Rbfnn Model Short-term Forecast Ultra-short-term Prediction Polar Motion
	Nonlinear model predictive control of SOFC based on a Hammerstein model 期刊论文 OAI收割 JOURNAL OF POWER SOURCES, 2008, 卷号: 185, 期号: 1, 页码: 338-344 作者: Huo, Hai-Bo; Zhu, Xin-Jian; Hu, Wan-Qi; Tu, Heng-Yong; Li, Jian 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/10/08 Solid oxide fuel cell (SOFC) Hammerstein model Radial basis function neural network (RBFNN) Autoregressive with exogenous input (ARX) Genetic algorithm (GA) Model predictive control (MPC)