共查询到20条相似文献，搜索用时 15 毫秒
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Regulatory control of distributed systems subjected to load disturbances is considered by using feedforward and state measure control configurations. Dynamic compensation of the feedforward signal is accomplished with a lead-lag function, the time constants of which are determined by means of a numerical search technique. Compensation of the state measure signal is provided by the distributed nature of the process itself. Exit temperature regulation of a tubular heat exchanger acted upon by velocity and inlet temperature disturbances is considered as an application for feedforward control. Considerably better performance is obtained with the addition of dynamic compensation to the feedforward signal. State measure control is applied to the exchanger for a feed temperature upset and the effects of sensor location on outlet performance are investigated. An optimal sensor location is determined which minimizes the integral-square error at the outlet. 相似文献
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In this article, we study the finite-time consensus in probability for stochastic multi-agent systems. First, we give the nonlinear consensus protocol for multi-agent systems with Gaussian white noise, and define the concept of finite-time consensus in probability. Second, we prove that multi-agent systems can achieve the finite-time consensus in probability under five different kinds of communication topologies by using graph theory, stochastic Lyapunov theory and probability theory. Finally, some simulation examples are provided to illustrate the effectiveness of the theoretical results. 相似文献
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This paper aims to address finite-time consensus problems for multi-agent systems under the iterative learning control framework. Distributed iterative learning protocols are presented, which adopt the terminal laws to update the control input and are offline feedforward design approaches. It is shown that iterative learning protocols can guarantee all agents in a directed graph to reach the finite-time consensus. Furthermore, the multi-agent systems can be enabled to achieve a finite-time consensus at any desired terminal state/output if iterative learning protocols can be improved by introducing the desired terminal state/output to a portion of agents. Simulation results show that iterative learning protocols can effectively accomplish finite-time consensus objectives for both first-order and higher order multi-agent systems. 相似文献
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针对多智能体系统中等式约束下的二次凸优化问题,给出一种事件驱动机制下的分布式优化算法.该算法可以降低每个智能体控制协议的更新频率以及智能体之间的通信负担.基于图论和李雅普诺夫函数方法给出两种不同的事件触发条件,其中第2种事件触发条件不需要拉普拉斯矩阵的最大特征根的信息,可实现算法全分布式实施.两种事件触发条件均可实现算法渐近收敛到优化值,避免智能体控制协议的连续更新以及智能体之间的连续通信,同时保证每个智能体相邻事件触发时刻的时间间隔大于0,避免持续事件触发.将所提出的算法应用于Matlab仿真环境中进行仿真验证,仿真结果验证了所提出算法的有效性. 相似文献
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本文针对无领航者的多Euler-Lagrange系统,设计了一种分布式有限时间一致性控制算法.该算法只利用相邻个体的位置信息和自身的速度信息作为输入,使得网络化Euler-Lagrange系统在有限时间内达到一致性.考虑到闭环Euler-Lagrange系统的非自主性,运用Matrosov定理、Lyapunov稳定性定理和有限时间稳定性定理等对所设计的控制器的稳定性进行了证明,并进行了数值仿真实验,验证了控制器的有效性. 相似文献
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Yongzheng Cong;Haibo Du;Xueling Li;Xiaozheng Jin; 《国际强度与非线性控制杂志
》2024,34(12):8127-8143
》2024,34(12):8127-8143
For the position synchronization control problem of multiple nonlinear manipulator systems, a bounded distributed cooperative controller is designed in this paper. Based on a fixed-time position observer, a distributed finite-time synchronization controller is designed by using the saturated control technique and homogenous system theory. Compared with the existing results, the proposed distributed cooperative control algorithm not only guarantees finite-time convergence but also satisfies the input saturation. Finally, some numerical simulation results are presented to verify the feasibility of the theory results with six-degree-of-freedom robots. 相似文献
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针对存在时滞的多智能体系统,提出了基于一类连续非线性函数的有限时间一致性算法.利用Lyapunov有限时间稳定性理论和矩阵理论,给出了这类算法使得系统能够在有限时间内达到一致的充分条件,进而给出了一个满足条件的有限时间一致性算法,并对该算法的收敛性进行分析,得到了系统的收敛时间.数值仿真验证了所提出算法的有效性. 相似文献
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Xiaoran Dai Guo-Ping Liu Qijun Deng Wenshan Hu Pan Sun 《Asian journal of control》2023,25(5):3992-4004
Modular converters are employed for ultra-large ship degaussing systems to improve the magnetic stealth capability. However, the degaussing performance could be compromised by the inconsistent current in various modules. Therefore, current synchronization is a crucial issue in the control of distributed multi-converter systems (DMCSs). To meet the high requirement of such an industrial scenario, a distributed cooperative control scheme is conceived for DMCSs in this paper. The consensus and stability of the DMCS are analyzed, in contrast to existing works that only take consensus into account, and the necessary and sufficient conditions are derived with the constructed closed-loop control system. Then, the tailor-made controller design guideline is presented. Different cases of a cyber-physical DMCS in the MATLAB/SimPowerSystems environment are examined to confirm the viability. Furthermore, experiments with a multi-converter prototype system are carried out to confirm the efficiency of the proposed control method. Results from simulations and experiments are in line with the theoretical analysis, validating the efficacy. 相似文献
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Changchun Hua Xinglong Sun Xiu You Xinping Guan 《International journal of systems science》2017,48(2):337-346
This paper investigates the finite-time consensus problem for second-order multi-agent systems with unknown velocities and disturbances. By introducing the second-order sliding mode observer, two novel distributed finite-time protocols with only relative position measurements are proposed for the both cases with known and unknown boundaries of disturbances. On the basis of Lyapunov stability theorem and homogeneous theory, it is proved that the consensus can be achieved in finite time. Simulation examples are provided to show the effectiveness of the theoretical results. 相似文献
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This paper is concerned with the design of a distributed cooperative synchronisation controller for a class of higher-order nonlinear multi-agent systems. The objective is to achieve synchronisation and satisfy a predefined time-based performance. Dynamics of the agents (also called the nodes) are assumed to be unknown to the controller and are estimated using neural networks. The proposed robust neuro-adaptive controller drives different states of nodes systematically to synchronise with the state of the leader node within the constraints of the prescribed performance. The nodes are connected through a weighted directed graph with a time-invariant topology. Only few nodes have access to the leader. Lyapunov-based stability proofs demonstrate that the multi-agent system is uniformly ultimately bounded stable. Highly nonlinear heterogeneous networked systems with uncertain parameters and external disturbances were used to validate the robustness and performance of the new novel approach. Simulation results considered two different examples: single-input single-output and multi-input multi-output, which demonstrate the effectiveness of the proposed controller. 相似文献
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This paper is devoted to the robust finite-time output consensus problems of multi-agent systems under directed graphs, where all agents and their communication topologies are subject to interval uncertainties. Distributed protocols are constructed by using iterative learning control (ILC) algorithms, where information is exchanged only at the end of one iteration and learning is used to update the control inputs after each iteration. It is proved that under ILC-based protocols, the finite-time consensus can be achieved with an increasing number of iterations if the communication network of agents is guaranteed to have a spanning tree. Moreover, if the information of any desired terminal output is available to a portion (not necessarily all) of the agents, then the consensus output that all agents finally reach can be enabled to be the desired terminal output. It is also proved that for all ILC-based protocols, gain selections can be provided in terms of bound values, and consensus conditions can be developed associated with bound matrices. Simulation results are given to demonstrate the effectiveness of our theoretical results. 相似文献
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多agent系统的一个关键性的问题就是多agent之间的协作,即一组agent需要选择出一个联合动作,使得整体效用最大化。该文提出了基于值规则的协作图,并改进了变量消减算法,使用它们可以实现多agent在通信条件受到限制的离散状态空间里进行动作选择。 相似文献
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This article investigates the control problem for formation tracking of multiple nonholonomic robots under distributed manner which means each robot only needs local information exchange. A class of general state and input transform is introduced to convert the formation-tracking issue of multi-robot systems into the consensus-like problem with time-varying reference. The distributed observer-based protocol with nonlinear dynamics is developed for each robot to achieve the consensus tracking of the new system, which namely means a group of nonholonomic mobile robots can form the desired formation configuration with its centroid moving along the predefined reference trajectory. The finite-time stability of observer and control law is analysed rigorously by using the Lyapunov direct method, algebraic graph theory and matrix analysis. Numerical examples are finally provided to illustrate the effectiveness of the theory results proposed in this paper. 相似文献
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Fenglan Sun 《International journal of systems science》2013,44(4):727-738
The finite-time consensus problems of second-order multi-agent system under fixed and switching network topologies are studied in this article. Based on the graph theory, LaSalle's invariance principle and the homogeneity with dilation, the finite-time consensus protocol of each agent using local information is designed. The leader-following finite-time consensus is analysed in detail. Moreover, some examples and simulation results are given to illustrate the effectiveness of the obtained theoretical results. 相似文献