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首页> 外文期刊>International journal of system control and information processing >Quasi min-max model predictive control for Hammerstein system over networks with packet losses
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Quasi min-max model predictive control for Hammerstein system over networks with packet losses

机译：Qualstein系统与数据包丢失网络的Quasi Min-Max模型预测控制

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摘要

In this paper, a constrained model predictive control (MPC) approach is presented for the networked control systems (NCSs) containing Hammerstein nonlinearity and bounded packet losses. The Hammerstein nonlinearity is partially removed by establishing its pseudo-inverse, and the remaining weaker nonlinearity is tackled by the polytopic description. The model of NCS is constructed from the standpoint of robust control, which transforms the stabilisation of the control systems with packet losses into the stabilisation of a set of subsystems. The constrained networked MPC approach is given by parameterising the infinite horizon control moves into a free control move followed by a state feedback law which the input and state constraints are explicitly considered. Compared with the networked MPC without free control move, the presented approach improves the control performance of the closed-loop system, which is verified by a comparison simulation example.
机译：本文介绍了包含HAMBerstein非线性和有界分组损耗的网络控制系统（NCSS）的受约束模型预测控制（MPC）方法。 通过建立伪逆部分地部分地除去突肽非线性，并且通过多种子化描述来解决剩余的较弱的非线性。 NCS的模型是由鲁棒控制的观点构建的，这将控制系统的稳定性与分组丢失转换为一组子系统的稳定性。 通过将无限地平线控制移动到自由控制移动中，接下来的态反馈定律进行了约束的联网MPC方法，然后明确地考虑输入和状态约束的状态反馈定律。 与没有自由控制移动的网络MPC相比，所提出的方法改善了闭环系统的控制性能，通过比较模拟示例验证。

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