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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 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 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：50/0  |  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   Adaptive Steering Feedback Torque Design and Control for Driver-Vehicle System Considering Driver Handling Properties 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 页码: 5391-5406 作者:  Jiang, Yuyao;  Deng, Weiwen;  Wu, Jian;  Zhang, Sumin;  Jiang, Hongwei 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Steering feedback torque  driver handling properties  driver arm mechanical characteristics  model-based adaptive neural network control  driver-vehicle system   Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators 期刊论文 AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 卷号: 68, 页码: 475-485 作者:  Chang, Yafei;  Jiang, Tiantian;  Pu, Zhiqiang 收藏  |  浏览/下载：21/0  |  提交时间：2018/03/03 Hypersonic Vehicle  Uncertainty  Time-variation  Characteristic Model-based Adaptive Control  Fuzzy Neural Network Estimator   High pressure common rail diesel engine modeling for calibration and optimization 期刊论文 2010, 2010 Han Qiang; Yang Fuyuan; Zhang Jingyong; Ouyang Minggao 收藏  |  浏览/下载：3/0 The research of nonlinear control based on fuzzy neural network (EI CONFERENCE) 会议论文 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：20/0  |  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.