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prescribed-time Group Consensus Cooperative Guidance

Prescribed-time Group Consensus Cooperative Guidance

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第40届中国控制会议

作者： Wenhui Ma Yangwang Fang Zhikai Wang Wenxing Fu Xiaogeng Liang School of Automation Northwestern Polytechnical University Unmanned System Research Institute Northwestern Polytechnical University School of Astronautics Northwestern Polytechnical University

In this paper,a prescribed-time group consensus cooperative guidance law（PTGCCGL） is proposed based on the prescribed-time control *** from the tradition cooperation against single target,the group cooperative guidance shows its potential in intercepting multiple *** the group cooperative attack,the formation is classified into subgroups which attack their own targets ***,prescribed-time group consensus based on the time-scaling function is proved by Lyapunov stability ***,the PTGCCGL is proposed for cluster cooperation to achieve the simultaneous attack of same subgroup while keep the communication between ***,a numerical example is presented to show the effectiveness of the proposed cooperative guidance law.

关键词： prescribed-time convergence group consensus multiple flight vehicles cooperative guidance

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Adaptive prescribed-time Parameter Estimation for Nonlinear Systems with Unknown Switched Parameters

Adaptive Prescribed-Time Parameter Estimation for Nonlinear ...

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第43届中国控制会议

作者： Qiyao Li Yingbo Huang Siyu Chen Jing Na Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology

This paper proposes an adaptive prescribed-time(PT) parameter estimation method for nonlinear systems subject to unknown switched parameters. The notable feature of the PT parameter estimation is that the estimated parameters can converge to their true values within a finite settling time that can be selected regardless of the initial condition. To achieve the objective,the nonlinear system is first transformed as a linear system with parameter jump behaviour. To address the inherent unknown parameters,a set of auxiliary filtered variables are introduced to extract the parameter error information. Then,a time-varying function concerning on the parameter jump and prescribed convergence time of the estimated parameters is designed. With the obtained parameter estimation error and time-varying function,an adaptive PT parameter estimation algorithm is constructed to guarantee the accuracy and convergence time of the estimated parameters. Theoretical studies are conducted to confirm the convergence of the estimated parameters,and make a comparison between the suggested adaptive law and both finite-time(FT)and fixed-time(FxT) schemes. Numerical simulation results of the parameter estimation performance are provided to verify the effectiveness of the proposed method.

关键词： Adaptive Parameter Estimation prescribed-time convergence Switched System

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