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第36届中国控制会议

作者： Junchang Zhai Yuping Qin College of Information Science and Technology Bohai University College of Engineering Bohai University

ISBN: (纸本)9781538629185

This paper proposes a new approach for robust pole assignment in second-order systems with proportional plus derivative state feedback. The desired closed-loop poles set locates in an arbitrarily specified circular region, and it can be easily taken as a part of the design parameters based on geometric principles. The object can be converted into a global dynamical optimization problem based on geometric principles and harmony search algorithm. For robust circular region stability constraint, the eigenstructure of the closed-loop system can be optimized using harmony search algorithm via stochastic optimization approach. Finally, the simulation results illustrate the effectiveness and superiority of the proposed method.

关键词： Robust Pole Assignment second-order systems Harmony Search

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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems

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Frontiers of Information Technology & Electronic Engineering 2024年第6期25卷 869-886页

作者： Zhenyi ZHANG Jie HUANG Congjie PAN College of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108China G+Industrial Internet Institute Fuzhou UniversityFuzhou 350108China

Reinforcement learning behavioral control(RLBC)is limited to an individual agent without any swarm mission,because it models the behavior priority learning as a Markov decision *** this paper,a novel multi-agent reinforcement learning behavioral control(MARLBC)method is proposed to overcome such limitations by implementing joint ***,a multi-agent reinforcement learning mission supervisor(MARLMS)is designed for a group of nonlinear second-order systems to assign the behavior priorities at the decision *** modeling behavior priority switching as a cooperative Markov game,the MARLMS learns an optimal joint behavior priority to reduce dependence on human intelligence and high-performance computing *** the control layer,a group of second-order reinforcement learning controllers are designed to learn the optimal control policies to track position and velocity signals *** particular,input saturation constraints are strictly implemented via designing a group of adaptive *** simulation results show that the proposed MARLBC has a lower switching frequency and control cost than finite-time and fixed-time behavioral control and RLBC methods.

关键词： Reinforcement learning Behavioral control second-order systems Mission supervisor

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Nonsingular Fixed-time Sliding Mode Control for second-order systems with Unknown Disturbance

Nonsingular Fixed-time Sliding Mode Control for Second-order...

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第40届中国控制会议

作者： Ye Tian Pingli Lu Qing Jiang Changkun Du Haikuo Liu School of Automation Beijing Institute of Technology

This paper peruses the finite/fixed-time stability problem of classical second order systems with unknown external disturbance. Based on the sliding mode control approach, a finite-time controller is first proposed to achieve the stability of the closed-loop system. Then, to remove the limitation of convergence rate relying on initial states, a novel fixed-time controller is further proposed. It is noteworthy that both the two controllers are globally effective. Moreover, to solve the singularity problem of the terminal sliding mode approach, a novel method of singular area division is introduced into the construction of the proposed switching controller. Thus, this treatment achieves finite/fixed-time convergence without singularity in both areas of phase plane,which offers more feasibility in practice. Finally, numerical simulation results are performed to verify the effectiveness of the proposed algorithms.

关键词： Sliding mode control(SMC) Finite-time control Fixed-time control Nonsingular second-order systems

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Robust Eigenstructure Assignment in A Class of second-order Linear systems

Robust Eigenstructure Assignment in A Class of Second-order ...

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第三十九届中国控制会议

作者： Yin-Dong Liu Li-Mei Wang School of Electrical Engineering Shenyang University of Technology School of Automation Engineering Northeast Electric Power University

Based on a proposed complete parametric approach for eigenstructure assignment in second-order linear system via the proportional-plus-derivative feedback control, insightful parametrizations of the closed loop eigenvalues sensitivities to the perturbed elements in the open loop system matrices are obtained, and an effective algorithm for eigenvalue assignment with minimum sensitivity in second-order systems via the proportional-plus-derivative feedback control is then proposed. The algorithm does not contain ‘go back’ procedures, and allows the closed loop eigenvalues to be conveniently optimized with desired regions. A numerical example demonstrates its effect, simplicity and numerical property.

关键词： second-order systems Robust Eigenstructure Assignment Sensitivity Analysis Parameter Optimization

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Predefined-Time Distributed Optimization Problem Subject to Equality Constraint of second-order Multi-Agent systems

Predefined-Time Distributed Optimization Problem Subject to ...

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第40届中国控制会议

作者： Shiling Li Xiaohong Nian Zhenhua Deng Zhao Chen Chongxin Lei School of Automation Central South University

In this paper, we consider the predefined-time distributed optimization problem of second-order multi-agent systems under undirected and connected communication networks, in which, the optimization problem subject to the equality *** order to make all agents converge to the optimal solution at predefined-time, we propose a distributed predefined-time control law based on time-base generator technique. Then we guarantee the convergence of the proposed algorithm by the properties of Laplace matrix and orthogonal matrix. Finally, we provide example to illustrate the effectiveness of the proposed distributed algorithm by choosing arbitrary initial values of states and arbitrary convergence time.

关键词： Distributed optimization multi-agent systems second-order systems predefined-time convergence

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