Event-Triggered Robust Synchronization of Probabilistic Boolean Networks: Robust Invariant Set Approach

IF 4 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Dingyuan Zhong;Jianquan Lu;Jinde Cao
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引用次数: 0

Abstract

In this article, we consider event-triggered control (ETC) to achieve robust synchronization between Boolean networks and probabilistic Boolean networks (PBNs). The advantage of the controller in this article lies in its robustness against random disturbances, which unavoidably exist in real networks because of environmental changes. Moreover, the proposed ETC effectively reduces energy consumption, because it achieves the control objective using the shortest possible time without unnecessary updates of the feedback gain. First, robust synchronization is equivalently converted to robust set stabilization of an augmented PBN using the semitensor product. Second, a feasible algorithm is presented to calculate the largest robust control invariant set of a given set, based on which a necessary and sufficient condition is developed for the existence of event-triggered controllers. Then, a detailed configuration of all feasible controllers is provided by a constructive algorithm. Under some mild conditions, global controllers are designed to further reduce computation load. Finally, examples are provided to illustrate the main results.
概率布尔网络的事件触发稳健同步:鲁棒不变集方法
在本文中,我们考虑了事件触发控制(ETC)来实现布尔网络和概率布尔网络(pbn)之间的鲁棒同步。本文控制器的优点在于对随机干扰具有鲁棒性,而实际网络中由于环境变化不可避免地存在随机干扰。此外,所提出的ETC在不需要更新反馈增益的情况下,以最短的时间达到控制目标,有效地降低了能量消耗。首先,利用半量积将鲁棒同步等效地转化为增广PBN的鲁棒集镇定。其次,给出了一种计算给定集的最大鲁棒控制不变集的可行算法,并在此基础上给出了事件触发控制器存在的充分必要条件。然后,通过构造算法给出所有可行控制器的详细组态。在一些较为温和的条件下,设计了全局控制器来进一步降低计算量。最后,通过实例说明了本文的主要研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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