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• 自动化研究所 [4]
• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [1]
• 光电技术研究所 [1]

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• OAI收割 [8]

内容类型

• 期刊论文 [7]
• 会议论文 [1]

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• 2020 [2]
• 2019 [2]
• 2018 [1]
• 2017 [1]
• 2015 [1]
• 2010 [1]
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浏览/检索结果: 共8条，第1-8条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 876-889 作者:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/03/30 Hysteresis  Actuators  Nonlinear systems  Fuzzy logic  Adaptive systems  Adaptation models  Actuator hysteresis  adaptive quantized control  backstepping technique  fuzzy logic systems (FLSs)  nonlinear systems   An Operator-based Nonlinear Vibration Control System Using a Flexible Arm with Shape Memory Alloy 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 139-150 作者:  Hiroki Matsumori;  Ming-Cong Deng;  Yuichi Noge   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/02/22 Operator theory  nonlinear control  stability  right coprime factorization  shape memory alloy  hysteresis characteristics.   Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312 作者:  Wang, Jianhui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/03/30 Actuators  Hysteresis  Nonlinear systems  Artificial neural networks  Adaptive systems  Stochastic systems  System performance  Actuator failure  adaptive control  event-triggered  neural networks (NNs)  stochastic nonlinear systems  unknown direction hysteresis   Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer 期刊论文  OAI收割 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 9, 页码: 1738-1752 作者:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip   |  收藏  |  浏览/下载：57/0  |  提交时间：2019/12/16 Actuator hysteresis  fuzzy logic systems (FLSs)  input quantization  output feedback  nonlinear systems   Improved ADRC With ILC Control of a CCD-Based Tracking Loop for Fast Steering Mirror System 期刊论文  OAI收割 Ieee Photonics Journal, 2018, 卷号: 10, 期号: 4, 页码: 14 作者:  Dong, Q. R.;  Liu, Y. K.;  Zhang, Y. L.;  Gao, S. J.;  Chen, T.   |  收藏  |  浏览/下载：28/0  |  提交时间：2019/09/17 Fast steering mirror  disturbance suppression  active disturbance  rejection control (ADRC)  sliding mode control (SMC)  iterative learning  control (ILC)  iterative learning control  nonlinear-systems  control algorithm  compensation  hysteresis  actuators  design  Engineering  Optics  Physics   Stability Analysis of the Shunt Regulator With Nonlinear Controller in PCU Based on Describing Function Method 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 3, 页码: 2044-2053 作者:  Li, Hong;  Wang, Shiheng;  Lu, Jinhu;  You, Xiaojie;  Yu, Xinghuo   |  收藏  |  浏览/下载：29/0  |  提交时间：2018/07/30 Describing function (DF)  hysteresis control  nonlinear system  power conditioning unit (PCU)  stability   Adaptive control of piezoelectric fast steering mirror for high precision tracking application 期刊论文  OAI收割 SMART MATERIALS AND STRUCTURES, 2015, 卷号: 24, 期号: 3 作者:  Wang, Geng;  Rao, Changhui 收藏  |  浏览/下载：24/0  |  提交时间：2015/07/10 adaptive control  piezoelectric fast steering mirror  high precision tracking  hysteresis nonlinear  linear dynamics   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：27/0  |  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.