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科研机构
山东大学 [10]
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期刊论文 [8]
会议论文 [2]
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2019 [4]
2017 [1]
2016 [1]
2013 [3]
2010 [1]
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专题:山东大学
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Fuzzy and PD control for satisfied motion of a mobile inverted pendulum robot
期刊论文
ACM International Conference Proceeding Series, 2019, 页码: 28-33
作者:
Wu, Ke
;
Rong, Xuewen
;
Xin, Yaxian
;
Tian, Guohui
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/12/11
Linear matrix inequality (LMI)
Mobile inverted pendulum robot (MIPR)
Parallel distributed compensation (PDC)
Proportional-derivative (PD) control
Takagi-Sugeno (T-S) fuzzy model
Multiobjective H-2/H-infinity Control Design of the Nonlinear Mean-Field Stochastic Jump-Diffusion Systems via Fuzzy Approach
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 4, 页码: 686-700
作者:
Wu, Chien-Feng
;
Chen, Bor-Sen
;
Zhang, Weihai
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/12/11
Fronts-squeezing linear matrix inequality (LMI) constrained
multiobjective evolutionary algorithm (MOEA)
mean field jump diffusion
(MFSJD) system
multiobjective H-2/H-infinity control
Pareto
optimization
Takagi-Sugeno (T-S) fuzzy model
Fuzzy Guaranteed Cost H infinity Control of Uncertain Nonlinear Fuzzy Vehicle Active Suspension with Random Actuator Delay
期刊论文
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 卷号: 21, 期号: 7, 页码: 2021-2031
作者:
Han, Shi-Yuan
;
Zhong, Xiao-Fang
;
Chen, Yue-Hui
;
Tang, Gong-You
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Vehicle active suspension
Guaranteed cost control
Takagi-Sugeno (T-S)
fuzzy model
Actuator time delay
Linear matrix inequality
Fuzzy Guaranteed Cost H∞ Control of Uncertain Nonlinear Fuzzy Vehicle Active Suspension with Random Actuator Delay
期刊论文
International Journal of Fuzzy Systems, 2019
作者:
Han S.-Y.
;
Zhong X.-F.
;
Chen Y.-H.
;
Tang G.-Y.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
Actuator time delay
Guaranteed cost control
Linear matrix inequality
Takagi-Sugeno (T-S) fuzzy model
Vehicle active suspension
Multiobjective Investment Policy for a Nonlinear Stochastic Financial System: A Fuzzy Approach
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017, 卷号: 25, 期号: 2, 页码: 460-474
作者:
Wu, Chien-Feng
;
Chen, Bor-Sen
;
Zhang, Weihai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Linear-matrix-inequality (LMI)-constrained multiobjective evolution
algorithm (MOEA)
multiobjective H-2/H-infinity fuzzy investment policy
nonlinear stochastic jump diffusion system
Pareto optimality
stochastic financial system
Takagi-Sugeno (T-S) fuzzy model
Robust Decentralized Static Output-Feedback Control Design for Large-Scale Nonlinear Systems Using Takagi-Sugeno Fuzzy Models
期刊论文
IEEE ACCESS, 2016, 卷号: 4, 页码: 8250-8263
作者:
Zhong, Zhixiong
;
Zhu, Yanzheng
;
Yang, Ting
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/16
Decentralized control
static output-feedback (SOF) control
descriptor
system
large-scale systems
robust control
Takagi-Sugeno (T-S) model
Optimal model approximation of discrete-time T-S fuzzy systems: Hankel norm approach
期刊论文
Chinese Control Conference, CCC, 2013, 页码: 39-44
作者:
Peng, Tong
;
Xiong, Yongyang
;
Yang, Xiaozhan
;
Yang, Rongni
;
Wu, Ligang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/23
Hankel norm performance
Model approximation
Takagi-Sugeno (T-S) fuzzy systems
Optimal Model Approximation of Discrete-Time T-S Fuzzy Systems:Hankel Norm Approach
会议论文
第三十二届中国控制会议
作者:
PENG Tong
;
XIONG Yongyang
;
YANG Xiaozhan
;
YANG Rongni
;
WU Ligang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Takagi-Sugeno(T-S) fuzzy systems
Hankel norm performance
Model approximation
Optimal Model Approximation of Discrete-Time T-S Fuzzy Systems: Hankel Norm Approach
会议论文
32nd Chinese Control Conference (CCC), JUL 26-28, 2013
作者:
Peng Tong
;
Xiong Yongyang
;
Yang Xiaozhan
;
Yang Rongni
;
Wu Ligang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/31
Takagi-Sugeno (T-S) fuzzy systems
Hankel norm performance
Model
approximation
Takagi-Sugeno fuzzy-model-based control of hyperchaotic Chen system with norm-bounded uncertainties
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2010, 卷号: 224, 期号: I3, 页码: 223-234
作者:
Huang, X.
;
Cao, J.
;
Li, Y.
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/26
Hyperchaotic Chen system
T-S fuzzy model
uncertainty
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