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检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan"

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FCM-based multiple random forest for speech emotion recognition 5

FCM-based multiple random forest for speech emotion recognit...

引用

5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Zhou, Mengtian Chen, Luefeng Xu, Jianping Cheng, Xianghui Wu, Min Cao, Weihua She, Jinhua Hirota, Kaoru School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Engineering Tokyo University of Technology Tokyo192-0982 Japan Tokyo Institute of Technology Yokohama226-8502 Japan

Speech emotion recognition (SER) is of great importance in the human-robot interaction, and SER have been developed rapidly in recent years. How to identify high correlation features is a main question. In this paper, multiple random forest (MRF) is proposed, which can effectively predict up to several thousand explanatory variables, and improve the recognition result. At the mean time, personalized features and non-personalized features are fused for SER that can be divided into different subclasses by adopting the fuzzy C-means (FCM) clustering algorithm, then FCM-based MRF is proposed. Finally, our model is established, and the confusion matrix is output. Moreover, we conduct a separate classification of some certain emotion, which are difficult to recognition to some extent. And results show that the proposed method of FCM-based MRF achieves good performance for SER, which the recognition accuracy is 84.17%.

关键词： Clustering algorithms

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T-S Fuzzy Logic control with Genetic Algorithm Optimization for Pneumatic Muscle Actuator

T-S Fuzzy Logic Control with Genetic Algorithm Optimization ...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Cheng Chen Jian Huang Dongrui Wu Zhikang Song Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Beijing Advanced Innovation Center of Intelligent Robots and Systems Beijing China School of Automation Huazhong University of Science and Technology Wuhan China

Based on the three elements model of pneumatic muscle actuators(PMA), this paper proposed a T-S fuzzy logic control with genetic algorithm optimization and achieved the trajectory tracking control of PMA. To guarantee the stability of control system, the Lyapunov direct method was used. And the LMI Toolbox of Matlab was used in this paper to solve linear matrix inequalities(LMls) and calculate the state feedback gains. Finally, the results of experiment demonstrated that, T-S fuzzy logic control with genetic algorithm optimization can achieve desired control performance, which overcome the chattering of trajectory tracking, reduced tracking error effectively and improved the accuracy of control.

关键词： Genetic algorithms Fuzzy logic Mathematical model Optimization Muscles Actuators Stability analysis

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Stochastic stabilization of linear systems under delayed and noisy feedback control 36

Stochastic stabilization of linear systems under delayed and...

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第36届中国控制会议

作者： ZONG Xiaofeng LI Tao ZHANG Ji-Feng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Shanghai Key Laboratory of Pure Mathematics and Mathematical Practice Department of MathematicsEast China Normal University Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences

ISBN: (纸本)9781538629185

This paper is to study the stabilizability and stabilization issues of linear dynamical systems based on the delayed and noisy feedback control. For the general linear systems, the necessary conditions and sufficient conditions for mean square and almost sure stabilizability are deduced and the corresponding feedback controls are designed according to the generalized algebraic Riccati equation. It is revealed that the stabilizability is up to the system parameters（delays, noises, and unstable eigenvalues of the original system） and unstable systems can be stabilized in mean square if the feedback control is disturbed by noises with small intensities. It is showed that second-order integrator systems must be stabilizable for any given noise intensity and delay.

关键词： Stabilization Feedback control Noise Delay

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A trajectory tracking control strategy based on finite element method for planar three-link underactuated manipulator

A trajectory tracking control strategy based on finite eleme...

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Annual Conference of Industrial Electronics Society

作者： Yawu Wang Xuzhi Lai Haoqiang Chen Pan Zhang Min Wu School of Automation China University of Geosciences Wuhan Hubei China Intelligent Automation for Complex Systems Hubei Key Laboratory of Advanced Control Wuhan Hubei China

This paper presents a trajectory tracking control strategy based on the finite element method for a planar three-link underactuated manipulator with a passive third joint. From the mechanical structure, the manipulator can be thought of as composed of two parts. The first part is the first link of the manipulator, which is a single link manipulator system. The second part consists of the remaining two links, which can be seen as a plananr Pendubot. First, a finite element model of the planar Pendubot is built by using COMSOL, and the coupling relationship between its active link and its passive link is analyzed. Then, two servo controllers (A and B) with the same structure are designed for two active links of the manipulator, respectively. The servo controller A is directly applied to control the angular velocity of the first link of the manipulator rotating with a constant speed, which makes the end-point of the manipulator move along the trajectory direction. Next, a fuzzy system is designed based on the coupling relationship of the planar Pendubot to calculate the target angular velocity of the second link of the manipulator according to the tracking error and its change rate. The servo controller B is applied to control the angular velocity of the second link of the manipulator, which makes the tracking error converge to zero. Finally, Simulation results demonstrate the effectiveness and the robustness of the proposed control strategy.

关键词： Manipulators Servomotors Zirconium Couplings Angular velocity Trajectory tracking Fuzzy systems

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Maximum power point tracking control of direct-drive permanent magnet wind turbine based on adaptive neuro-fuzzy inference system 5

Maximum power point tracking control of direct-drive permane...

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5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Ding, Min Ou, Yingxiong Hu, Bo She, Jinhua Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China State Grid Energy Research Institute Beijing102200 China School of Engineering Tokyo University of Technology Tokyo192-0982 Japan

The power from wind varies depending on the environmental factors. Because of the randomness and intermittent of wind, it is difficult for the wind energy conversion system to locate and track the maximum power point (MPP) with fast speed and high accuracy under the condition of variable wind speed. In this paper, a variable-speed wind-generator maximum power point tracking (MPPT) control method based on adaptative neuro-fuzzy inference system (ANFIS) is presented. It is designed as a combination of the Sugeno fuzzy model and neural network. The ANFIS based controller predicts the optimum speed with the inputs as the speed change and power change, and controls the speed with PI controllers. The performance of the proposed controller is tested for direct-drive permanent magnet wind turbine based wind energy conversion system under fast wind speed variation in MATLAB/Simulink. The simulation results show that the designed control method has good dynamic characteristics and steady-state accuracy in wind power MPPT and improves the working efficiency.

关键词： Wind turbines

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Stability analysis of load frequency control systems with two delays in each area

Stability analysis of load frequency control systems with tw...

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Annual Conference of Industrial Electronics Society

作者： Fei Long Chuan-Ke Zhang Yong He Min Wu School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In networked load frequency control (LFC) systems, time-varying delays could come from two aspects: measurements' transmission from power plant to control center and control signals from the control center to plant side, because of the use of open communication networks. Those delays can affect the dynamic performance and the stability of the system. In this paper, the two delays are considered in one-area LFC system, instead of combining these two delays into one, when the delay-dependent stability analysis is carried out by using Lyaponuvtheory and linear matrix inequality (LMI) technique. Moreover, the dynamic delay interval method is employed to derive less conservative delay-dependent stability criteria for such time-delay system compared with the existing results. Finally, the effectiveness of the proposed criteria are verified by two case studies.

关键词： Delays Stability criteria Time-varying systems Power system stability Frequency control Symmetric matrices

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A GA-SVM and D-S evidence theory based method for shunt-fault diagnosis in power systems

A GA-SVM and D-S evidence theory based method for shunt-faul...

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Asian control Conference

作者： Xiaomin Wu Dianhong Wang Weihua Cao Min Ding School of Automation China University of Geosciences Wuhan China Hubei KEY Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

In this paper, a novel genetic algorithm support vector machine (GA-SVM) and Dempster Shafer (D-S) evidence theory based diagnostic method is proposed to improve the efficiency and accuracy for power system fault diagnosis. The fault diagnosis method proposed consists of two steps, first step is the preliminary diagnosis, the second step is the fault fusion. The preliminary diagnosis with two GA-SVM classifiers decreases the information dimension and improve the efficiency. The fault fusion based on D-S evidence theory reduces the conflict of the preliminary diagnosis faults. The voltage phasor and current phasor information are utilized together in the method, the diagnosis accuracy is improved by weakening the detection uncertainties. The method proposed applied in an actual power system in hubei province in China. The practical results verified the feasibility and effectiveness of the method.

关键词： Support vector machines Genetic algorithms Fault diagnosis Substations Training Uncertainty

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Suppressing the pressure fluctuations caused by drill string vibration by SP-EID method

Suppressing the pressure fluctuations caused by drill string...

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Asian control Conference

作者： Yang Zhou Xin Chen School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

During drilling process, the axial vibration of the drill string always causes the fluctuations of the bottom hole pressure, which may lead to serious accidents. At the same time the bottom hole pressure control system also has the phenomenon of parameter change and the feedback delay, so that the pressure is difficult to control. In view of this situation, we develop a method combining Smith Predictor with equivalent input disturbance(SP-EID) approach to achieve the disturbance suppression and delay compensation. First, considering the changes in the model parameters, we improve the existing hydraulic model to describe the dynamic characteristics of the bottom hole pressure, at same time the mathematical form of the disturbance is given. Then we use the Smith Predictor to compensate the delay of the feedback channel and apply EID method to suppress pressure disturbances. Finally the SP-EID method is used to adjust the mud flow on the ground to control the bottom hole pressure. The simulations are conducted to compare our method with SMC method, in order to show the superiority and effectiveness of our method.

关键词： Mathematical model Delays Matrix decomposition Vibrations State feedback Symmetric matrices

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Nesterov Accelerated Gradient Descent-based Convolution Neural Network with Dropout for Facial Expression Recognition

Nesterov Accelerated Gradient Descent-based Convolution Neur...

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Asian control Conference

作者： Wanjuan Su Luefeng Chen Min Wu Mengtian Zhou Zhentao Liu Weihua Cao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

Nesterov accelerated gradient descent-based convolution neural network (NAGDCNN) with dropout is proposed for facial expression recognition, which fuses the convolution neural network (CNN) with Softmax regression to construct a deep convolution neural network (DCNN) that can excavate high-level expression features and classify them. The dropout layer is added after the sub-sampling layer which can effectively reduce overfitting and the network's training time, moreover, the Nesterov accelerated gradient descent (NAGD) is used to optimize the network weights that can predictably prevent the algorithm from going too fast or too slow and enhance the response capability of the network. To verify the effectiveness of the proposal, experiments on benchmark database are conducted, and the experimental results show that the proposal outperforms the state-of-the-art methods. Futhermore, the application experiment is also curried out and the results indicate the feasibility of the proposal in practical applications.

关键词： Deep learning Facial expression recognition Nesterov accelerated gradient descent Dropout Principal component analysis

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A Model Reference Adaptive control with ADP-to-SMC Strategy for Unknown Nonlinear systems

A Model Reference Adaptive Control with ADP-to-SMC Strategy ...

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Asian control Conference

作者： Hao Fu Xin Chen Wei Wang School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

In this paper, a novel online learning controller based on model reference adaptive control (MRAC) is presented to simplify the complexity of controlling a class of discrete nonlinear systems with a little prior knowledge, using approximate dynamic programming (ADP). Without the identifier and the assumption of a command generator model, the proposed approach employs a modified direct heuristic dynamic programming (HDP) to acquire two types of the bounded tracking errors, which are available to transform the system into a linear system with the uncertain bounded persistent disturbance. In addition, toggling between the learning and the sliding mode control (SMC) flexibly, an ADP-to-SMC strategy is developed to guarantee the better performance in MRAC. Finally, Simulation results demonstrate the effectiveness of the proposed control scheme.

关键词： Mathematical model Nonlinear systems Adaptation models Linear systems Computational modeling Linear programming Generators

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