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Model Predictive control for Interval Type-2 T-S Fuzzy systems Under New Dynamic Event-Triggered Mechanism 41

Model Predictive Control for Interval Type-2 T-S Fuzzy Syste...

引用

第41届中国控制会议

作者： Chaoling Zhang Fan Wei Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on dynamic event-triggered model predictive control(MPC) problem for interval type-2 Takagi-Sugeno(IT2 T-S) fuzzy systems with hard constraints on the state.A dynamic event-triggered mechanism(DETM) with two adjusting variables is devised to reduce data transmission *** MPC problem is formulated as a "min-max" problem over the infinite *** purpose is to find a series of desired sub-controllers in terms of MPC such that the underlying IT2 T-S fuzzy system is asymptotically *** taking the T-S fuzzy nonlinearities and the DETM into consideration,we give the design method of the controller through an online auxiliary optimization problem with several constraint conditions.A simulation example is used to demonstrate the effectiveness and the validity of the proposed methods.

关键词： Dynamic event-triggered mechanism adjusting variables model predictive control interval type-2 T-S fuzzy systems

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Finite-time H∞ state estimation for genetic regulatory networks with observations of two hidden-Markov modes 41

Finite-time H∞ state estimation for genetic regulatory netw...

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第41届中国控制会议

作者： You Wu Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper investigates the problem of finite-time H state estimation for discrete time-delayed genetic regulatory networks（GRNs） with observations of two hidden-Markov modes.A new GRN model with two Markov jump delays is proposed,of which the mode observations are governed by two hidden-Markov *** sufficient conditions are derived,which guarantee the finite-time boundedness of the estimation error dynamics with prescribed H disturbance attenuation *** state estimator parameters are designed by solving several matrix inequalities.A numerical example is given to illustrate the validity of our results.

关键词： Genetic regulatory networks finite-time H_∞ state estimation hidden Markov model Markov jump delays

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Static Unstable STT Overload control on High-order Fully Actuated system Theory

Static Unstable STT Overload Control on High-order Fully Act...

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International Symposium on Autonomous systems (ISAS)

作者： Xinyu Liu Mingrui Hao Yan Zhen Yu Fan Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity.

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An Analysis Method for Influence of BF Operating Parameters on GUR Based on Convergent Cross Mapping Algorithm 41

An Analysis Method for Influence of BF Operating Parameters ...

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第41届中国控制会议

作者： Chenglin Yang Jianqi An Weijun Li Wenkai Hu Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A blast furnace(BF),which includes a variety of complex physical changes and chemical reactions,has many operating parameters that affect its smelting ***,the relationship between operation parameters and state parameters is complex and the influence of time delay between operation parameters and state parameters is difficult to be ***,this paper proposes a convergent cross mapping algorithm(CCM) incorporating delay analysis to solve this ***,using the CCM algorithm to calculate the correlation coefficients between operation parameters and state parameters,and judge the causal relationship between each operating parameter and state parameter by the convergence of the CCM ***,determine the specific delay time and time delay interval of BF operating variables to state variables through fusion time delay *** that the selection of embedding dimension has an important influence on the result of causality *** paper uses the cross-validation method to determine the optimal embedding ***,by comparing the mechanism analysis and the experimental results,the effectiveness of this method in determining causality and delay time of BF variables is verified.

关键词： Blast Furnace Operation Parameters causal relationship Convergence Cross Mapping Time Delay

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Detection of Termite Nests in Dams Using Ground Penetrating Radar Based on Deep Learning 20

Detection of Termite Nests in Dams Using Ground Penetrating ...

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20th International Conference on Ground Penetrating Radar, GPR, 2024

作者： Peng, Jiao Xue, Wei Wang, Wenkai Song, Junlei Zhou, Feng Huang, Pengchun Zhang, Zhixuan Zhang, Feng Zhang, Xu Chen, Longjia Sun, Li School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China Dam Safety Monitoring and Termite Control Center of Hubei Provincial Department of Water Resources China Key Laboratory of Termite Control Ministry of Water Resources China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China

Termites have always been one of the major hidden dangers to the operational safety of dams. Traditional detection methods such as manual inspection and termite baiting have limitations in terms of efficiency and accuracy. To solve the problems, paper proposes a termite nest detection method based on ground penetrating radar (GPR) and deep learning. First, the simulated GPR data are generated using gprMax software, and the real data are collected using a GPR at several dams. Subsequently, the YOLOv8 deep neural network is employed for termite nest recognition in GPR images. The experimental results show that the proposed model can achieve the mean average precision (mAP) of 0.96 and a detection speed of 53.76 frames per second (FPS). © Published under licence by IOP Publishing Ltd.

关键词： Deep neural networks

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Global Practical Sampled-data for a Class of Stochastic Nonlinear systems 41

Global Practical Sampled-data for a Class of Stochastic Nonl...

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第41届中国控制会议

作者： Qing Chang Shiqi Zheng Jiachun Sun Tao Song Liangguang Li School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we mainly study the global tracking problem for stochastic systems by the sampled data state feedback *** the condition of lower-triangular,the sampled data state feedback controller is constructed to make the states globally bounded,and the error between the system output and the reference signal is less than the specified allowable *** the same time stochastic phenomenon is considered in the nonlinear *** global tracking performance and stochastic stability are both achieved simultaneously.

关键词： Stochastic systems nonlinear systems state feedback sampled-data controllers

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Research on Energy Storage control Strategy Considering Economy 41

Research on Energy Storage Control Strategy Considering Econ...

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第41届中国控制会议

作者： Zihan Zhang Zhijian Fang Jie Cai Wenhe Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Energy storage system is generally used to ensure the stability and reliability of *** the system generally contains multiple energy storage units,and due to the process,material and other aspects of the limitation,the initial state of charge(SOC) of each energy storage unit cannot be guaranteed to be completely equal,which leads to the shortening of the life of energy storage unit,and affect the economic benefits of energy storage system ***,this paper analyzes the influence conditions between energy storage units according to the calculated formula of energy storage unit *** value of charge between energy storage systems is analyzed through the active power output of the system,and then the difference is obtained by comparing the value of charge of each energy storage unit with the average value of charge of each *** the iterative algorithm is used to update the state of each node,and the balance factor is introduced to gradually reduce the difference on the basis of droop control to optimize and control the output of these energy storage nodes to achieve SOC *** the economic benefits such as maintenance cost of energy storage system are ***,a working model of microgrid is established and the feasibility and economy of this method are verified by simulation.

关键词： Economy Micro grid Energy storage system Droop control SOC balance

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A Soft Grasping Device with the Modularization and Bi-directional Bending Properties 41

A Soft Grasping Device with the Modularization and Bi-direct...

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第41届中国控制会议

作者： Ling-Jie Gai Jie Huang Xiaofeng Zong School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This work proposes a fully soft grasping device to perform complex tasks,which consists of the modularized soft grippers and the bi-directional bending soft *** the modularized soft gripper part,we adopt caps to seal both ends of the gripper and connect the adjacent knuckles by *** modularized design not only makes the soft grippers like human fingers to achieve segmental bending,but also reduces the waste caused by local *** the soft holder part,we present a bidirectional bending method to automatically adjust the grasping space,and we also establish a mathematical model to describle the relationship between the soft holder's bending angle and the air ***,in order to evaluate the dynamic response and position accuracy of the grasping device,a PID controller is designed for the soft grasping device to track the step,sine,and square wave ***,the great grasping performance of the fully soft grasping device is verified by experiments.

关键词： Modularized soft gripper Soft holder Adjust grasping range automatically PID controller

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An Improved Exponential Stability Criterion of Generalized Neural Networks With Intermittent Large-Delay Periods 41

An Improved Exponential Stability Criterion of Generalized N...

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第41届中国控制会议

作者： Jin-Meng Xu Yong He Wen-Hu Chen Zhe-Li Yuan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper focuses on the exponential stability analysis of generalized neural networks(GNNs) with time-varying delays,where the time delays include several intermittent large-delay periods(LDPs).First,the improved piecewise augmented Lyapunov-Krasovskii functional(LKF) candidate is constructed based on the delay-dependent state ***,some advanced inequalities are adopted to estimate the derivative of LKF *** with switching techniques,an exponential stability criterion with less conservativeness is *** last,a numerical example is used to verify the advantage of the proposed criterion.

关键词： Time-varying delay Switched delay system Large-delay period Exponential stability

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Improved control Strategy for Permanent Magnet Synchronous Motor system Based on Speed Sensorless control

Improved Control Strategy for Permanent Magnet Synchronous M...

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2023 China Automation Congress, CAC 2023

作者： Jiang, Jun Wang, Chengsheng Duan, Wei Lan, Zhiming Li, Fan Yang, Qiongtao Institute of Metallurgical Industry Automation Research and Design Beijing China National Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing China Beijing Aritime Intelligent Control CO. LTD. Beijing China

ISBN: (纸本)9798350303759

Permanent magnet synchronous motor (PMSM) has the characteristics of high efficiency, large rotational inertia, and fast dynamic response. In recent years, the speed sensorless control technology of PMSM has significant advantages, such as reduced costs, smaller volume, and enhanced system anti-interference. Therefore, it has become a research hotspot. This article relies on a set of 50kw AC-DC-AC SiC inverter, adopts a composite control strategy, and focuses on the optimized control method of PMSM without speed sensors at low, medium and high speeds. With the help of high-performance digital signal processor DSP28335, the switching of two control methods can be achieved and the system experiment in the full speed domain is completed. The experimental results are basically consistent with the measured values of the speed encoder. This verifies the effectiveness and accuracy of the speed sensorless control algorithm which has good theoretical guidance significance for engineering applications. © 2023 IEEE.

关键词： Digital signal processors

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