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Decentralised adaptive architectures for control of large-scale active-passive modular systems with stability and performance guarantees

机译:分散的自适应架构,用于控制具有稳定性和性能保证的大型主动无源模块化系统

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摘要

Decentralised control of large-scale active-passive modular systems is considered in this paper. The considered class of large-scale systems consist of physically interconnected and generally heterogeneous modules, where local control signals can only be applied to a subset of these modules (i.e. active modules) and the rest do not admit any control signals (i.e. passive modules). Specifically, based on a set-theoretic model reference adaptive control approach predicated on restricted potential functions, we design and analyse decentralised command following control laws for each active module such that they can effectively perform their tasks in the presence of unknown physical interconnections between modules and module-level system uncertainties. The key feature of our framework allows the system error trajectories of the active modules to be contained within a-priori, user-defined compact sets. Thus, they are guaranteed to achieve strict performance guarantees, where this is of paramount importance for practical applications. In addition to our theoretical findings and research contributions, the efficacy of the proposed decentralised adaptive control architecture is demonstrated in an illustrative numerical example.
机译:本文考虑了大规模主动无源模块化系统的分散控制。被认为的类大规模系统的类别包括物理互连和通常是异构的模块,其中局部控制信号只能应用于这些模块的子集(即有源模块),其余的不承认任何控制信号(即无源模块) 。具体地,基于对受限潜在函数预测的设定理论模型参考自适应控制方法,我们设计和分析每个活动模块的控制法则下的分散命令,使得它们可以在模块之间存在未知的物理互连的存在下有效地执行任务模块级系统不确定性。我们的框架的关键特性允许有源模块的系统错误轨迹包含在先验用户定义的小组中。因此,保证它们可以实现严格的性能保证,这对实际应用至关重要。除了我们的理论调查结果和研究贡献之外,在说明性的数值例子中还证明了所提出的分散式自适应控制架构的功效。

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