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Energy-efficient cooperative predictive control for multi-agent non-linear systems with transmission delay

机译:具有传输延迟的多智能体非线性系统的节能协同预测控制

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摘要

This study proposes a novel distributed economic model predictive control (EMPC) strategy for energy-efficient cooperative formation of decoupled multi-agent non-linear systems with transmission delay. In this system, each subsystem is controlled to maximise the economic performance during tracking the reference trajectory and maintaining its relative position to the neighbouring subsystems. The cooperation between subsystems is executed through the cost functions and coupled constraints associated with the delayed information. A Lyapunov-based contractive constraint is introduced to establish recursive feasibility of the proposed EMPC strategy. Moreover, stability of any single subsystem with the EMPC is proved rigorously by exploiting the idea of input-to-state stability and for both strongly and weakly connected networks, stability of the whole system is then proved by using the generalised small gain condition. The effectiveness of the proposed strategy is illustrated by two numerical simulation experiments.
机译:这项研究提出了一种新颖的分布式经济模型预测控制(EMPC)策略,用于具有传输延迟的解耦多主体非线性系统的节能高效协作形成。在该系统中,控制每个子系统以在跟踪参考轨迹并保持其相对于相邻子系统的相对位置期间最大化经济性能。子系统之间的协作是通过成本函数和与延迟信息关联的耦合约束来执行的。引入了基于Lyapunov的收缩约束,以建立所提出的EMPC策略的递归可行性。此外,通过利用输入到状态稳定性的思想严格证明了使用EMPC的任何单个子系统的稳定性,对于强弱连接的网络,都使用广义的小增益条件证明了整个系统的稳定性。通过两个数值模拟实验说明了该策略的有效性。

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