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An equalization algorithm based on constellation matched phase error for M-ary phase shift keying signals

Journal of Computational Information Systems 2014年第3期10卷 895-902页

作者： Wang, Xinlin Liu, Bin Li, Haibin Liu, Shuang College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

The inter-symbol interference (ISI) and phase error caused by non-ideal character of channel can result in severe degradation of bit error rate performance in communication system. The existing equalization algorithm can effectively eliminate the ISI of M-ary phase shift keying signals (MPSK), but do not inhibit the phase error. A new equalization algorithm that accomplishes blind equalization and phase information recovery simultaneously is proposed for MPSK signals. In the algorithm, the cost function is weighted sum of two separate well-defined terms: one is identical to the constant modulus algorithm case to enhance the robust of the algorithm, and another is a constellation matched phase error (CMPE) term that is constructed in this paper. The CMPE term is used to cancel the phase error of the equalizer output. Simulation results demonstrate that the proposed algorithm is effective in removing ISI and correcting phase error at the same time. © 2014 Binary Information Press.

关键词： Phase shift keying

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Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment 37

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

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37th Chinese control Conference, CCC 2018

作者： Wen, Shuhuan Chen, Jianhua Li, Zhen Rad, Ahmad B. Mohammed Othman, Kamal Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China School of Engineering Sciences Simon Fraser University SurreyBCV3T 0A3 Canada

ISBN: (纸本)9789881563941

This paper proposes a fuzzy Q-learning (FQL) algorithm to solve the problem of the robot obstacle avoidance in unknown environment. FastSLAM algorithm is used to localize the position of the robot. Traditional Q-learning algorithm, optimized Q-learning algorithm, FQL algorithm are compared. The simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Anthropomorphic robots

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High-dimensional chaotic system and its circuit simulation

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Telkomnika - Indonesian Journal of Electrical engineering 2013年第8期11卷 4530-4538页

作者： Liu, Jianming Hebei Key Lab of Industrial Computer Control Engineering Yanshan University Qinhuangdao China

The chaotic system plays an important role in electronic and electrical equipment, computer cryptography, computer communication and so on. In this paper, we established three new six-dimensional complex chaotic systems and one new ten-dimensional complex chaotic system. The regularity to generate high-dimensional chaotic system is also found by overlaying a series of low-dimensional chaotic systems with Duffing chaotic system. The circiuts of the new high-dimensional complex chaotic system are designed. The simulation experiments of the high-dimensional complex chaotic circuits are tested. The results of theoretical analysis and experiment show that new high-dimensional complex chaotic systems and their circiuts have the hyperchaotic characteristics.2013 Universitas Ahmad Dahlan.

关键词： Chaotic systems

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Friction compensation control of space manipulator considering the effects of gravity

Friction compensation control of space manipulator consideri...

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Chinese control Conference (CCC)

作者： Li Qin Xiao-Jing Jia Cai-Feng Liu Fu-Cai Liu Key Lab of Industrial Computer Control Engineering Yanshan University Qinhuangdao Hebei CN

ISBN: (纸本)9781509009107

All space manipulators are debugged on the ground and on-orbit serviced in space. Compared with in ground gravity environment their friction characteristics in space microgravity environment have great changes. For sake of tracking the desired trajectory, in both ground and space, considering these characteristics, a friction compensation control method based on an Active Disturbance Rejection control (ADRC) is proposed and its effectiveness is validated on a planar 2-DOF free-floating space manipulator. The friction models and the dynamic models under different gravity environment have been derived based on the torque balance, the Kane equation and the Lagrange method. Particle Swarm Optimization (PSO) is put forward to optimize parameters of ADRC so as to improve the efficiency of designing process. Compared with PD controller in tracking simulation under different gravity environment, the results verify the advantage of the proposed improved control method.

关键词： Friction Aerospace electronics Gravity Manipulator dynamics Torque Mathematical model

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A new regularity to generate high-dimensional hyperchaotic system

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Telkomnika - Indonesian Journal of Electrical engineering 2013年第8期11卷 4594-4601页

作者： Liu, Jianming Hebei Key Lab of Industrial Computer Control Engineering Yanshan University Qinhuangdao China

The chaotic system plays an important role in information communication, electrical equipment, computer cryptography and so on. In this paper, four new high-dimensional complex hyperchaotic systems are found. A new overlaying regularity to generate a new high-dimensional complex hyperchaotic system is found by overlaying a series of low-dimensional chaotic system with the Duffing chaotic system. The regularity to generate high-dimensional complex hyperchaotic system is analyzed. The features of chase space maps and Lyapunov exponents' maps are analyzed. The results of theoretical analysis and experiment show that new systems having strong chaotic features. © 2013 Universitas Ahmad Dahlan.

关键词： Chaotic systems

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Improved Hybrid Attention Learning System for Remaining Useful Life Prediction 42

Improved Hybrid Attention Learning System for Remaining Usef...

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42nd Chinese control Conference, CCC 2023

作者： Li, Zhi Sun, Tao Ma, Song Yang, Bin Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Tsinghua University Department of Automation Beijing100084 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789887581543

Remaining useful life (RUL) prediction can improve the availab.lity and efficiency of equipment or system by providing timely maintenance suggestions. In this paper, an improved hybrid attention learning system for RUL prediction is developed. By introducing adaptive weighting, a hybrid attention mechanism with self attention and external attention is designed. The mechanism enhances the attention to samples with similar performance degradation patterns, and improves the feature extraction ability of the learning system for sensor data with strong temporal correlation. Finally, we conducted a series of simulation experiments on the commercial modular aviation propulsion system simulation (C-MAPSS) dataset to verify the effectiveness and superiority of the proposed method in RUL prediction. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Learning systems

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Improved Generative Adversarial Network with Hybrid Attention Mechanism for Path Planning 42

Improved Generative Adversarial Network with Hybrid Attentio...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Yi-Fan Sun, Tao Ma, Song Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Tsinghua University Department of Automation Beijing100084 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789887581543

Multi-agent path planning is one of the most challenging problems in the field of artificial intelligence. In this paper, an improved generative adversarial network model with hybrid attention mechanism for data-driven path planning is proposed. Firstly, by introducing spatial attention mechanism, positional attention mechanism and channel attention mechanism, a hybrid attention module is designed. This module not only establishes feature relationship between different locations, but also provides adaptive feature weights to highlight key information. Next, by embedding the hybrid attention module into the generative adversarial network, an improved generative adversarial network model is developed. The proposed model can capture effective feature information in the image and ensures that the generated path can evade obstacles accurately. Finally, some simulation results are provided to verify the superiority and accuracy of the model in path planning. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Motion planning

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Effects and solution of electric power steering system on vehicle handling stability

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Journal of Computational Information Systems 2012年第1期8卷 65-72页

作者： Zang, Huaiquan Geng, Jia Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical and Engineering Yanshan University Qinhuangdao 066004 China

To research the effects of electric power steering (EPS) system on vehicle handling stability and to improve it, this paper derives the expressions of road feeling and steering sensitivity, regards which as the performance targets that estimates the vehicle handling stability in addition. Finally, a dynamic compensation controller is presented for the EPS system. The simulation results show the compensated EPS system takes account of a good steering feeling and a rapid response of steering sensitivity. Its handing stability is better than the EPS vehicle which only considers the power effect. © 2012 Binary Information Press January 2012.

关键词： Steering

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Hopf Bifurcation Hybrid control Strategy for Mill Main Driving System Under Unsteady Lubrication

SSRN

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SSRN 2022年

作者： Liu, Shuang Meng, Qingfu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Hebei066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Mr Hebei066004 China

Aiming at the vibration behavior of the main driving system of rolling mill when the lubrication condition changes, the Hopf bifurcation phenomenon of the system under unsteady lubrication condition is analyzed, and an improved hybrid control strategy is proposed to suppress the vibration of rolling mill. Firstly, according to the variation law of lubrication conditions in rolling process, the dynamic rolling moment of the main drive system under unsteady lubrication was given, and the torsional vibration mechanical model of the main drive system was established, and the Hopf bifurcation behavior of the system under boundary lubrication was analyzed. It is found that when the subcritical Hopf bifurcation occurs in the system, the main transmission system of the linker will experience sudden and destructive instability oscillations. Therefore, this paper proposes an improved hybrid control strategy to control the Hopf bifurcation behavior of the system. The traditional hybrid control strategy uses a single control parameter to control both parameter disturbance and state feedback. Here, two control parameters are used to control parameter disturbance and state feedback respectively. In the state feedback part, nonlinear feedback is used to replace the traditional linear feedback. After the control is added, the critical value of Hopf bifurcation can be changed and the stability region of the system can be increased by adjusting the control parameters of the disturbance part of the parameters. Here, direct Normal form calculation method is introduced to calculate the Hopf bifurcation specification of the system. By adjusting the control parameters of the state feedback part by the canonical coefficient, the system can be changed from subcritical bifurcation to supercritical bifurcation, the phase trajectory of the system can be changed from unstable limit cycle to stable limit cycle, and the amplitude of limit cycle can be controlled. The effectiveness of the proposed

关键词： Lubrication

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Three-Dimensional Optimal Trajectory Tracking control of Underactuated Autonomous Underwater Vehicles Using Double Closed-Loop control 5

Three-Dimensional Optimal Trajectory Tracking Control of Und...

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5th International Conference on Intelligent Autonomous Systems, ICoIAS 2022

作者： Gong, Huibin Joo, Meng Liu, Tianhe Zhao, Xudong Institute of Artificial Intelligence and Marine Robotics College of Marine Electrical Engineering Dalian Maritime University Dalian China Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian China

ISBN: (数字)9781665498388

ISBN: (纸本)9781665498388

In this paper, a double closed-loop control method is proposed for three-dimensional optimal trajectory tracking control of underactuated autonomous underwater vehicles (AUVs), Firstly, a five-degree-of-freedom mathematical model of under-Actuated AUV is established. Secondly, an output redefinition method is adopted to solve underactuated control problem. On this basis, a backstepping method is utilized to design the outer-loop controller where virtual velocity is derived using the error between input and output of the system. Next, an adaptive dynamic programming method is used to design the inner-loop controller, where the performance index function containing the disturbance upper bound is set, and a neural network is employed to solve the Hamilton-Jacobi-Bellman equation online. Finally, the Lyapunov theorem is used to establish that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the proposed method. © 2022 IEEE.

关键词： Autonomous underwater vehicles

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