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Optimal Rescue Path for Maritime Air Crash Based on Probability Density Distribution and Bayesian Formula

Optimal Rescue Path for Maritime Air Crash Based on Probabil...

引用

第37届中国控制会议

作者： Jing Wang Ping Yu Zhen-Tao Liu State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Optimal rescue path for maritime air crash based on probability density distribution and Bayesian formula is proposed,where probable crash area is determined through surface search at a high altitude,and then the minimum wreckage floating zone is obtained by probability density ***,we divide it into regular hexagons based on Honeycomb Model to identify the point search area that is endowed with priority by Bayesian ***,the optimal path is worked out by transferring optimization problem to be a Traveling Salesman Problem(TSP).In simulations,some spots are randomly chosen on a Google map in which we can find debris in ocean through surface search at high *** a point search route is obtained by using Annealing algorithm,which strips out 4%of time compared with current *** intelligent search and rescue framework based on reinforcement learning is *** future work,search and rescue work will be free from manpower and bad weather constraints.

关键词： Point search Hexagonal regions Priority Bayesian formula Traveling Salesman Problem Reinforcement Learning

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Inverse Kinematic control Method of Redundant Manipulators with Joint Limits Constraints

Inverse Kinematic Control Method of Redundant Manipulators w...

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第37届中国控制会议

作者： Ting Fei Xin Chen Jiafeng Xu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

For the control problem of redundant manipulators with joint limits constraints, a novel method combining the simplified clamping weighted least-norm method and the typical gradient projection method is proposed in this paper. The method solves the problem that the manipulability of the redundant manipulator is poor caused by the clamping weighted least-norm method and makes the joint velocity change more smoothly. The proposed novel method is implemented on a kinematic redundant manipulator with four degree-of-freedom(DOF) which belongs to the dulcimer music-playing robot. The numerical simulation results show that the joint positions are well-bounded within the joint limits and the manipulator has a good performance for tracking a given trajectory.

关键词： Redundant manipulators Joint limits Inverse kinematic control

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A control Strategy with Zero Residual Vibration for A Planar Single-Link Flexible Manipulator

A Control Strategy with Zero Residual Vibration for A Planar...

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第37届中国控制会议

作者： Qingxin Meng Xuzhi Lai Ze Yan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The residual vibration（RV） problem of the flexible link manipulators（FLMs） is very difficult to solve due to the low stiffness and the underactuated feature of these *** paper presents a control strategy with zero RV for a planar singlelink flexible manipulator（PSLFM）.The stable control objective of the system is to stabilize the PSLFM at a target equilibrium point with zero ***,the dynamic model of the PSLFM is built by using the assumed mode method（AMM）.Then,we transform the control to the trajectory tracking control.A forward trajectory and a reverse trajectory are obtained by using a bidirectional trajectories planning ***,these two trajectories are connected by using the genetic algorithm（GA）.After doing this,we get a trajectory of the system from the initial equilibrium point to the target equilibrium ***,we design a trajectory tracking controller based on the sliding mode variable structure control method to control the PSLFM track this *** simulation results show that the PSLFM arrives the target equilibrium point with zero RV,which demonstrates the effectiveness of this control strategy.

关键词： Planar single-link flexible manipulator Underactuated systems Zero residual vibration Trajectory tracking control

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Observer-Based Tracking control for Suppressing Stick-Slip Vibration of Drillstring System

Observer-Based Tracking Control for Suppressing Stick-Slip V...

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第37届中国控制会议

作者： Jun Cheng Min Wu Luefeng Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A control method is proposed to suppress stick-slip vibration of drillstring system based on tracking control with zero steady-state error and state observer in this paper. A multiple degree-of-freedom(DOF) model of drillstring dynamic is presented first, which considers high-order modal of stick-slip vibration. Then, state observer is constructed to estimate the states of drillstring system, whose states are usually difficult to measure in the top of drillstring system. Finally, combing state feedback control and internal model principle, a tracking control with zero steady-state error is proposed to ensure the speed of rotary table and bit are consistent. The proposal only need top measurement, can eliminate multiple torsional modes, and has a strong robustness. Simulations show the effective of the proposal.

关键词： Stick-slip vibration Multi-DOF model Tracking control State observer

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GMI Effect Automatic Test System Based on Network Analyzer

GMI Effect Automatic Test System Based on Network Analyzer

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第37届中国控制会议

作者： Zhi Zhao Hengchang Rao Fang JIn Jinchao Wang Lei Zhu Junlei Song Kaifeng Dong Wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The measuring instrument selects the network analyzer, combines the direct current source and the Helmholtz coil to form the GMI effect test system. PC program written in Lab VIEW, network analyzer and DC current source is controlled by the host computer. The host computer can process and plot the impedance data collected by the network analyzer, and save the data and images locally. The test system by measuring the commercial Vitrovac6025 strip material, found that the material all showed a strong GMI effect at different frequencies. By comparing the measured data of the network analyzer and the impedance analyzer measured in the same frequency band, we found that the two are consistent, which verifies the accuracy and reliability of the test system.

关键词： Giant magneto-impedance（GMI） LabVIEW Network Analyzer

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H∞ control for singular systems with time-varying delay based on augmented Lyapunov-Krasovskii functional

H∞ control for singular systems with time-varying delay bas...

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第37届中国控制会议

作者： ZHI Ya-Li HE Yong School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper concers the H∞ control for singular systems with time-varying ***,an augmented LyapunovKrasovskii functional（ALKF） is constructed by adding some integral terms which are dependent on the singular matrix to the quadratic ***,to handle the derivative of the ALKF,a modified relaxed integral inequality is *** a result,a sufficient condition with a state feedback controller is derived to ensure the closed-loop system to be regular,impulse free and asymptotically stable with H∞ ***,a numerical example is given to verify the effectiveness and the superiority of the proposed method.

关键词： H∞ control Singular systems with time-varying delay Augmented Lyapunov-Krasovskii functional Relaxed integral inequality State feedback

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An efficient nondominated sorting algorithm 18

An efficient nondominated sorting algorithm

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2018 Genetic and Evolutionary Computation Conference, GECCO 2018

作者： Wang, Junchen Li, Changhe Diao, Yiya Zeng, Sanyou Wang, Hui School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China Nanchang Institute of Technology Nanchang China

ISBN: (纸本)9781450357647

Nondominated sorting (NS) is commonly needed in multi-objective optimization to distinguish the fitness of solutions. Since it was suggested, several NS algorithms have been proposed to reduce its time complexity. In our study, we found that their performances are closely related to properties of the distribution of a data set, especially the number of fronts. To address this issue, we propose a novel NS algorithm Filter Sort. We also propose a new benchmark data generator for evaluating the performance of a NS algorithm. Experimental results show that our algorithm is superior to several state-of-the-art NS algorithms in most cases. © 2018 Copyright held by the owner/author(s).

关键词： Multiobjective optimization

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Extended dissipativity analysis of delayed memristive neural networks based on a parameter-dependent lyapunov functional

Extended dissipativity analysis of delayed memristive neural...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Lu, Chengda Zhang, Xian-Ming Wu, Min Han, Qing-Long He, Yong 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 Software and Electrical Engineering Swinburne University of Technology MelbourneVIC3122 Australia

ISBN: (纸本)9781538666173

This paper is concerned with extended dissipativity analysis of memristive neural networks with time-varying delays. Using the characteristic function technique, a tractable model of a memristive neural network is obtained. This model is similar to a neural network with polytopic uncertain synaptic weights, enabling us to construct a parameter-dependent Lyapunov functional. By combining this functional and some integral inequalities, a novel extended dissipativity criterion is obtained in terms of linear-matrix-inequalities, where different Lyapunov matrices are used for each form of the memristive neural network. Through a numerical example, this criterion is shown to be less conservative than the one based on a common Lyapunov functional. © 2018 IEEE.

关键词： Linear matrix inequalities

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Synchronization control of star network based on quorum sensing mechanism 8

Synchronization control of star network based on quorum sens...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Liu, Feng Mateus, Felix Mei, Qicheng Wu, Xianyong School of Automation China University of Geosciences Wuhan430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China College of Electrical Engineering and New Energy China Three Gorges University Yichang443002 China

In this paper, we combined the quorum sensing mechanism of bacteria with the Repressilator oscillator to describe the rhythmicity of bacteria. It is found that the transmission of signal molecules between cells produces a star network, and the dynamical equation of the star network is given. Then, the error projection synchronization of star networks is defined and analyzed. A Lyapunov function is constructed to prove that the error system will be close to zero within a certain time under the control of the controller. Finally, a four node star network is used for simulation. The results show that the controller can achieve the desired results. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Synchronization

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An optimization method for coupling matrix elements of microwave filter

An optimization method for coupling matrix elements of micro...

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第37届中国控制会议

作者： Xiao-Long Zhuang Wei-Hua Cao Yan Yuan Can Liu Yu-Sheng Guo School of Automation China University of Geosciences China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper proposes a coupling matrix element optimization method for microwave filters. The traditional method is more complex and does not directly optimize the filter coupling matrix elements. The firefly algorithm optimization method used in this paper directly optimizes the elements of the N + 2 order coupling matrix. Compared with the traditional method, it has better speed and optimization effect. First, the elements of the specific coupling matrix are introduced into the optimization algorithm to be executed, then the matrix is iterated through the set objective function. Finally, when the optimized data is within the allowable range, the optimization of the elements of the coupling matrix is stopped and optimization is performed. The resulting coupling matrix outputs the response. To prove the effectiveness of the proposed method, three methods were used to optimize the coupling matrix elements of the fourth-order filter and compare the final optimization results.

关键词： computer aided tuning coupling matrix ploynomial model extraction optimization

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