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检索条件"任意字段=第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年"

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Control and Stability Analysis of Bipedal Hybrid Robot Model Based on Bionics

Control and Stability Analysis of Bipedal Hybrid Robot Model...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Zhihuan Zhang Zhensheng You Longhua Ma Ningbo Institute of Technology Zhejiang University

According to the characteristics of underactuated biped robot and current research achievements,a complete hybrid robot model was established and a mathematical Lagrange robot model was derived from the characteristics of human walking based on some reasonable simplifying ***,a control strategy of sinusoidal vibration and feedback control of two asymmetric algorithms were proposed based on bionics to simulate intermittent ***,robot walking under the proposed control strategy consumes less mechanical power than human ***,it is important for the development of bipedal robots with higher energy ***,the control and stability analysis of the proposed walking system were carried out through some simulation experiments.

关键词： Underactuated robot Bionics Bipedal hybrid robot model Stability analysis Robot control

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A New Stability Condition for Fuzzy Hopfield Neural Networks With Time-varying Delays

A New Stability Condition for Fuzzy Hopfield Neural Networks...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Yuanfang Chen Renquan Lu Tianlong Li Jianjun Bai Anke Xue Key Lab for IOT and Information Fusion Technology of Zhejiang Institute of Information Science and ControlHangzhou Dianzi University

In this paper,we study the stability of fuzzy Hopfield neural networks(FHNNs) with time-vary ing *** receiv e a new stability criterion with less conservatism,we p rop ose a new fuzzy Ly ap unov function distinguished by a line-integral function of fuzzy *** by using the Wirtinger-based inequality to estimate the upp er bound of the derivative of the Ly ap unov function and app ly ing free weightin g matrix ap p roach,a new stability criteria in the form of linear matrix inequality(LM I) is *** last,a numerical examp le is giv en to p rove the effectiveness of the conclusion.

关键词： Fuzzy Hopfield neural networks time-varying delays fuzzy Lyapunov function Wirtinger-based inequality

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Sparse Gaussian Process with Input Noise for Structured Prediction

Sparse Gaussian Process with Input Noise for Structured Pred...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Jiaxin Xia Qi Wu Bai Linsen School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University

Gaussian process(GP) regression is a common method for structured prediction and human pose estimation in which input and output are both *** complexity is a significant consideration of GP regression and it can be reduced by sparse Gaussian *** Fully Independent Training Conditional(FITC) algorithm is a good method for sparse Gaussian process,and it can be applied in fully-independent input *** noise is another significant consideration of GP ***,Noisy Input Gaussian Process(NIGP) algorithm can be used to solve measurement noise and achieve higher *** on NIGP algorithm,this study proposes sparse Gaussian process with input noisy input for structured prediction.A dataset from multiple people is used for experiments,the input is image from video processing or image descriptor obtained by feature extraction,and the output is a threedimensional human *** accuracy and runtime of the algorithm are also satisfactory compared with other methods for structure prediction.

关键词： Structured prediction Sparse Gaussian process Noisy input Video processing Feature extraction

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Research of Manipulator Trajectory Tracking Based on Adaptive Robust Iterative Learning Control

Research of Manipulator Trajectory Tracking Based on Adaptiv...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Xiaokan Wang School of Electronic and Information Engineering Beijing Jiaotong University Henan Mechanical and Electrical Vocational College

The manipulator control system is a dynamic system with the stronger nonlinear coupling feature and the higher position repetitive *** order to solve the problems of quickly load changes,many random disturbances,big measurement error and difficult dynamic modeling in the manipulator system,we designed a PD adaptive robust iterative learning controller,established the two degrees of freedom manipulator dynamics equation and used the Lyapunov function to analyze the stability and convergence of the *** simulation of manipulator trajectory tracking showed that the control method could effectively inhibit various disturbances which caused by parameter variations,nonlinear mechanical and non-models dynamic characteristics,and make the system achieve good performance,and verify the effectiveness of the algorithm.

关键词： manipulator iterative learning control robust control trajectory

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A control strategy study of Compressed Air System with multiple compressors

A control strategy study of Compressed Air System with multi...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Junjie Hu Aipeng jiang Haokun Wang Weifeng Xu Minliang Gong School of Automation Hangzhou Dianzi University

Compressed Air System with multiple compressors extensively used in flowsheet ***-saving for compressed air system is surveyed and a number of energy topics are explored,especially for its hybrid control and *** this study,proposed methods combine pressure with flow of consumption to control the compressors under great consumption change and have a number of advantages contrast to traditional control *** study provided background information,stabilized pressure as a mean to achieve the purpose of energy-saving and finally,illustrated the approach with case study results.

关键词： Compressed air system Stable pressure Energy-saving Great consumption change

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Event-triggered distributed MPC for constrained continuous-time nonlinear systems

Event-triggered distributed MPC for constrained continuous-t...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Jimin Yu Zhen Shen Xiaoming Tang College of Automation Chongqing University of Posts and Telecommunications

The event-triggered strategy has been proven as an efficient tool to reduce computational burden while tackling optimization *** paper studies event-triggered dual-mode distributed MPC problems for constrained continuoustime nonlinear systems with communication *** scheme employs feedback linearization method to deal with nonlinear *** the novel event-triggered distributed MPC scheme is raised by combining an event-triggering condition with a robustness ***,a detailed analysis of the recursive feasibility of the strategy is carried *** is claimed that the recursive feasibility is relevant to bounded disturbances and appropriate prediction *** stability property is proved that it is also related to the event-triggering condition.

关键词： Nonlinear System Distributed Model Predictive Control Communication Delay Event-triggered

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Novel stability criteria for Static Neural Networks with Two Interval Time-varying Delays

Novel stability criteria for Static Neural Networks with Two...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Guoquan Liu Xianxi Luo Chaomin Luo Jiakai Ding Huaiyin Zhou Jiangxi Province Engineering Research Center of New Energy Technology and Equipment East China University of Technology Department of Electrical and Computer Engineering University of Detroit Mercy Michigan

This paper focuses on the new stability analysis method for the stability analysis of static neural networks with two interval time-varying *** static neural network contains both discret and distribured *** employing linear matrix inequality(LMI) technique and constructing an appropriate Lyapunov-Krasovskii functional,several stability criteria are *** is also pointed that a gain matrix is obtained by using a *** experiments indicate that the obtained results are effective and correct.

关键词： stability static neural networks interval time-varying delays

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Batch Process Fault Monitoring Based on WGNPE-GSVDD Algorithm

Batch Process Fault Monitoring Based on WGNPE-GSVDD Algorith...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Hui Yongyong Zhao Xiaoqiang College of Electrical Engineering and Information Engineering Lanzhou University of Technology

In batch production processes,some process variables are related to other variables,while others are independent of each *** monitoring methods usually carry out a single statistical model according to the related or independent relationship,and there is not fully taken into account the characterization of fault information in the feature extraction process,this will cause the process monitoring *** a fault monitoring method based on WGNPE(Weighted global existing preserving embedding)-GSVDD(greedy support vector data description) related and independent variables is ***,the mutual information method is used to separate the related variables and independent ***,WGNPE algorithm is used to extract the local and global structure of the related variables in batch process and highlight the fault information,GSVDD method is used to extract the process information of independent variables quickly and ***,the statistical monitoring model is established to realize process *** penicillin fermentation process is used to examine the efficiency of the proposed method.

关键词： Batch process Monitoring Correlated and independent variables Global-local Support vector data description

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Variable-knot-based Spline-approximation Recursive Bayesian Algorithm for the Identification of Wiener Systems with Process Noise

Variable-knot-based Spline-approximation Recursive Bayesian ...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Shaoxue Jing Tianhong Pan Zhengming Li Jiangsu Unversity Huaian College of Information Technology School of Electrical and Information Engineering Jiangsu Unversity Jiangsu University

A novel recursive Bayesian algorithm based on a variable-knot spline approximation is proposed to identify Wiener systems with process *** this algorithm,a spline function is used to approximate the inverse function of the nonlinear part,which overcomes the drawbacks of a traditional polynomial function,such as poor extrapolation and potential oscillatory behaviour.A mean-value-based knot-selection method is used to achieve estimates with high *** order to improve the accuracy of the spline approximation,a new knot-variation strategy is also employed in the *** proposed algorithm is validated by a numerical simulation.

关键词： Parameter estimation Wiener system Process noise Spline-function approximation Variable knots Recursive Bayesian algorithm

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Human identification based on ECG signals via deterministic learning

Human identification based on ECG signals via deterministic ...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Xunde Dong Cong Wang Wenjie Si School of Automation Science and Engineering South China University of Technology

In the paper,a novel method based on ECG signal is proposed for the human *** from existing solutions for ECG-based human identification,temporal features(i.e.,the dynamics) rather than the static features(*** and amplitude distances) of ECG signal is used for the human *** ECG dynamics is accurately modeled by using recently developed deterministic learning theory,and is represented as constant RBF *** on a set of ECG signals measured from different subjects,a bank of estimators is constructed using the modeling *** a subject to be recognized,a set of errors can be obtained according to the comparison between the set of estimators and an ECG signal measured from the *** to a small error principle,the subject can be recognized *** results indicate that the proposed method is reliable and efficient for human identification.

关键词： ECG human identification dynamics deterministic learning

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