Stability Issues in Model-Based Predictive Control with Output Constraints

T. Subrahmanian, N. L. Ricker
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引用次数: 2

Abstract

This paper re-examines one of the cases studied by Zafiriou. The problem is reduced to a SISO system, allowing the QP problem to be simplified such that the factors leading to instability become readily apparent. We show that several "tricks of the trade" used in model predictive control (MPC) can reduce the likelihood of unstable behavior, but it is impossible to guarantee stability for all possible distudxnces when the output is constained, even when there is no plant-model mismatch
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具有输出约束的基于模型的预测控制稳定性问题
本文重新审视了Zafiriou研究过的一个案例。该问题被简化为SISO系统,从而使QP问题得到简化,从而使导致不稳定的因素变得很明显。我们展示了模型预测控制(MPC)中使用的几个“交易技巧”可以减少不稳定行为的可能性,但是当输出受到限制时,即使没有植物-模型不匹配,也不可能保证所有可能的干扰的稳定性
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