奇异微分-代数方程的模型预测控制
Model predictive control for singular differential-algebraic equations
摘要:
研究了高指标奇异微分代数方程的模型预测控制问题.这是一个新颖的文献相比,只有经常微分-代数方程的指数和/或可控性被认为是额外的假设。通过正则化技术,我们能够推导出一个等价的最优控制问题的常微分方程,其中著名的模型预测控制技术可以应用。这允许终端的约束和成本的建设,使原点是渐近稳定的w.r.t.形成闭环系统。
英文摘要:
We study model predictive control for singular differential-algebraic equations with higher index. This is a novelty when compared to the literature where only regular differential-algebraic equations with additional assumptions on the index and/or controllability are considered. By regularization techniques, we are able to derive an equivalent optimal control problem for an ordinary differential equation to which well-known model predictive control techniques can be applied. This allows the construction of terminal constraints and costs such that the origin is asymptotically stable w.r.t. the resulting closed-loop system.
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