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Adaptive control using multiple models

机译：使用多种模型的自适应控制

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Intelligent control may be viewed as the ability of a controller to operate in multiple environments by recognizing which environment is currently in existence and servicing it appropriately. An important prerequisite for an intelligent controller is the ability to adapt rapidly to any unknown but constant operating environment. This paper presents a general methodology for such adaptive control using multiple models, switching, and tuning. The approach was first introduced by Narendra et al. (1992) for improving the transient response of adaptive systems in a stable fashion. This paper proposes different switching and tuning schemes for adaptive control which combine fixed and adaptive models in novel ways. The principal mathematical results are the proofs of stability when these different schemes are used in the context of model reference control of an unknown linear time-invariant system. A variety of simulation results are presented to demonstrate the efficacy of the proposed methods
机译：通过识别当前存在的环境并对其进行适当的维护，智能控制可以被视为控制器在多种环境中运行的能力。智能控制器的重要先决条件是能够迅速适应任何未知但恒定的操作环境。本文介绍了使用多种模型，切换和调整进行这种自适应控制的一般方法。该方法最初由Narendra等人引入。 （1992年）以稳定的方式提高自适应系统的瞬态响应。本文提出了用于自适应控制的不同切换和调整方案，该方案以新颖的方式将固定模型和自适应模型相结合。当在未知线性时不变系统的模型参考控制的上下文中使用这些不同的方案时，主要的数学结果是稳定性的证明。提出了多种模拟结果，以证明所提出方法的有效性

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