Gap-based Multi-model Predictive Control of a TITO System

被引：0
作者：
Du, Jingjing [1 ]
Zhang, Lei [2 ]
Li, Jian [1 ]
机构：
[1] Hohai Univ, Coll Internet Things Engn, Changzhou 213022, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Internet Things, Nanjing 210003, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
关键词：
gap-based; multi-model predictive control; multi-model decomposition; multi-model combination; ROBUSTNESS;
D O I：
10.1109/cac48633.2019.8997487
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Gap metric is widely used in multi-model control. It is used to carry out the multi-model decomposition and it is also used to realize multi-model combination. The multi-model predictive control method, which integrates the advantages of the model predictive control technique and the multi-model control method, has attracted much attention in nonlinear control systems. In this work, we present a gap-based multi-model predictive control (GMMPC) method and apply it to a two-input-two-output (TITO) nonlinear system.
引用
收藏
页码：682 / 685
页数：4
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