鲁棒三模预测控制的结构优化动力学

B. Khan, J. Rossiter
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引用次数: 0

摘要

本文在基于模型的预测控制(MPC)领域做出了贡献,特别是研究了在鲁棒情况下,结构化优化动力学在多大程度上可以改善吸引力、性能和计算负担区域。本文着重于在鲁棒三模MPC环境中使用结构化预测动力学,并证明这些可以显着简化设计,同时保持良好的鲁棒可行性区域和性能。通过统计分析的数值算例证明了对现有算法的改进。
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Structured optimisation dynamics for robust triple mode predictive control
Abstract This paper makes contribution in the area of model based predictive control (MPC) and in particular examines to what extent structured optimisation dynamics can improve regions of attraction, performance and computational burden in the robust case. This paper focuses on the use of structured prediction dynamics within a robust triple mode MPC context and demonstrates that these can simplify the design significantly while retaining good robust feasibility regions and performance. The improvements, with respect to existing algorithms are demonstrated by numerical examples using statistical analysis.
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