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Distributed Nonlinear Model Predictive Control by Sequential Linearization and Accelerated Gradient Method

机译:序贯线性化和加速梯度法的分布式非线性模型预测控制

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A suboptimal approach to distributed NMPC for nonlinear interconnected systems subject to constraints is proposed. The objective is to develop a computationally efficient approach. The suggested method is based on a sequential linearization of the nonlinear system dynamics and finding a suboptimal solution of the resulting Quadratic Programming problem by using distributed iterations of the dual accelerated gradient method. The benefits of the approach are reduced complexity of the on-line computations, and simple software implementation, which makes it appropriate for embedded distributed convex NMPC. The proposed method is illustrated with simulations on the model of a quadruple-tank system.
机译:针对约束条件下的非线性互连系统,提出了一种次最佳的分布式NMPC方法。目的是开发一种计算有效的方法。所建议的方法是基于非线性系统动力学的顺序线性化,并通过使用双加速梯度方法的分布式迭代来找到由此产生的二次规划问题的次优解。该方法的好处是降低了在线计算的复杂性,并简化了软件实现,使其适用于嵌入式分布式凸NMPC。通过对四缸系统模型的仿真说明了所提出的方法。

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