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检索条件"任意字段=8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019"
336 条 记 录,以下是31-40 订阅
排序:
Adaptive optimal output tracking control of completely unknown linear two-time-scale systems  8
Adaptive optimal output tracking control of completely unkno...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Yang, Chunyu Zhao, Jianguo Zhong, Shanshan Zhou, Linna School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China
In this note, the infinite horizon optimal output tracking control problem for two-time-scale systems is investigated. the problem is transformed into an optimal regulator problem of the augmented system which is cons... 详细信息
来源: 评论
A data driven fractional-order terminal sliding mode control method  8
A data driven fractional-order terminal sliding mode control...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Hou, Mingdong Wang, Yinsong Shandong Labor Vocational and Technical College Department of Electrics and Automation Jinan250300 China School of Control and Computer Engineering North China Electric Power University Baoding071003 China
For a class of discrete-time nonlinear systems with disturbances, a data-driven discrete-time fractional-order terminal sliding mode control (DD-DFOTSMC) method is proposed in this paper. the algorithm is based on the... 详细信息
来源: 评论
Output tracking for a class of nonlinear non-minimum phase systems and its applications  8
Output tracking for a class of nonlinear non-minimum phase s...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Ma, Chao Wang, Jian Sun, Ruisheng Tao, Gang Nanjing University of Science and Technology Nanjing210094 China
In this paper, a new output synthetic method is proposed for a class of nonlinear non-minimum phase systems based on output redefinition. the thought of pole assignment is applied to the determination of new output, s... 详细信息
来源: 评论
An iterative learning controller for continuous systems with variable iteration interval  8
An iterative learning controller for continuous systems with...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Wei, Yun-Shan Wan, Kai School of Mechanical and Electric Engineering Guangzhou University Guangzhou510006 China School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China
In iterative learning control (ILC) strategy, to achieve the perfect tracking in a fixed time interval, a common assumption is that the iteration interval in each repetitive operation should be fixed. An iterative lea... 详细信息
来源: 评论
Queuing equilibrium control of urban intersection based on floating car data  8
Queuing equilibrium control of urban intersection based on f...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Yan, Jiaqing Li, Zhanying Shao, Peng Chen, Qi North China University of Technology Beijing100144 China
In recent years, the queuing equilibrium research based on traditional detector data is limited by the influence of data loss, resulting in inaccurate arrival rate and dissipation rate of the obtained vehicles. Based ... 详细信息
来源: 评论
Formation control of heterogeneous multi-agent systems with time-delay based on output regulation  8
Formation control of heterogeneous multi-agent systems with ...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Meng, Xiaoyang Du, Yajiang Li, Zonggang Chen, Yinjuan Robotics Institute Lanzhou Jiaotong University Lanzhou730070 China
this note considers the formation control of heterogeneous multi-agent systems with time delay, in which all agents are divided into a leader and followers. Here, the output regulation method is employed such that fol... 详细信息
来源: 评论
Adaptive tracking control of voltage-driven robotic manipulators with output constraints  8
Adaptive tracking control of voltage-driven robotic manipula...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Xu, Dong Chen, Qiang Ding, Kexin Nan, Yurong Tao, Liang College of Information Engineering Zhejiang University of Technology Hangzhou310023 China
this paper proposes an adaptive tracking control scheme for voltage-driven robotic manipulators with output constraints to achieve satisfactory tracking performance. To overcome the design difficulty from output const... 详细信息
来源: 评论
Proportional derivative observer design for nonlinear singular systems  8
Proportional derivative observer design for nonlinear singul...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Mu, Yunfei Tan, Zilong Zhang, Huaguang Zhang, Juan State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110004 China Liaoning Science and Technology Museum Shenyang110004 China
this paper focuses on proportional derivative observer design for a class of Takagi-Sugeno fuzzy singular systems. According to the available knowledge on premise variables, first, observer design with known premise v... 详细信息
来源: 评论
data driven control for a class of nonlinear SISO systems with uniform quantizer using encoding and decoding mechanism  8
Data driven control for a class of nonlinear SISO systems wi...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Zhu, Panpan Bu, Xuhui Liang, Jiaqi Shen, Dong School of Electrical Engineering Henan Polytechnic University Jiaozuo454000 China College of Information Science and Technology Beijing University of Chemical Technology Beijing100029 China
Faced with the problem of heavy network transmission burden, the issue of data quantization for a class of nonlinear single input and single output (SISO) systems is discussed in this paper. An approach based on data ... 详细信息
来源: 评论
data-driven tracking controls of multi-input augmented systems based on ADP algorithm  8
Data-driven tracking controls of multi-input augmented syste...
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8th ieee data driven control and learning systems conference, ddcls 2019
作者: Lv, Yongfeng Ren, Xuemei Hu, Shuangyi Li, Linwei Na, Jing School of Automation Beijing Institute of Technology Beijing100081 China Kunming University of Science Technology Faculty of Mechanical Electrical Engineering Kunming650500 China
the data-driven optimal tracking controls (OTC) for the unknown multi-input system are proposed in this paper, and a novel tuning law is used to update NN weights in the learning scheme. First, the formula of the OTC ... 详细信息
来源: 评论