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	Convergence of Self-Tuning Regulators under Conditional Heteroscedastic Noises with Unknown High-Frequency Gain 期刊论文 OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 页码: 15 作者: Zhang, Yaqi; Guo, Lei \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/01/14 ARCH model conditional heteroscedasticity convergence self-tuning regulator weighted least-squares algorithm
	Research on computer control strategy for optical electric tracking system (EI CONFERENCE) 会议论文 OAI收割 2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, August 7, 2011 - August 10, 2011, Beijing, China 作者: Li M. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In this paper mathematic model and computer control strategy for optical electrical tracking system have been researched and discussed. First the system's structure and its work process have been analyzed. Second according to the system's moving law the system's mathematic model has been built. As to the computer control strategy trigger guiding two closed loop PID control method as well as compound control method have been applied to satisfy the tracking accuracy. Third we apply the bilinear transformation to get the digital system and the sample time is 800Hz. The simulation results indicate that the maximum tracking error can be limited to less than 0.5 and the regulator time can be 0.04s. Then the control project resonance frequency should be more than 200Hz and the sample frequency should be more than 400Hz to meet the control accuracy requirement. So we can conclude that the system indexes such as swiftness high accuracy as long as real time have been satisfied. And the requirement of mechanical property has been present which is very useful to mechanical working. 2011 IEEE.
	The research of nonlinear control based on fuzzy neural network (EI CONFERENCE) 会议论文 OAI收割 International Conference on Electrical and Control Engineering, ICECE 2010, June 26, 2010 - June 28, 2010, Wuhan, China Fan Y.-Y.; Sang Y.-J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty high order and hysteresis this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum for example the paper constructed the nonlinear mathematicmodel realized the control with the method of the adaptive fuzzy neural network and compared with control method of liner quadratic regulator the simulation results indicate that the method of adaptive fuzzy neural network can realize the stabilization of control better without the linear model of system and has a higher robustness. 2010 IEEE.
	A macrokinetic and regulator model for myeloma cell culture based on metabolic balance of pathways 期刊论文 OAI收割 PROCESS BIOCHEMISTRY, 2006, 卷号: 41, 期号: 10, 页码: 2207-2217 作者: Zhou, Feng; Bi, Jing-Xiu; Zeng, An-Ping; Yuan, Jing-Qi 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/10/24 myeloma metabolic pathways stoichiometric model regulator model metabolic shift