Zonotopic Set-Membership State Estimation for Discrete-Time Descriptor LPV Systems
Zonotopic Set-Membership State Estimation for Discrete-Time Descriptor LPV Systems
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DOI：
10.1109/tac.2018.2863659
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发表时间：
2019-05
影响因子：
6.8
通讯作者：
Ye Wang;Zhenhua Wang;V. Puig;G. Cembraño
中科院分区：
文献类型：
--
作者：
Ye Wang;Zhenhua Wang;V. Puig;G. Cembraño
本技术说明提出了一种新的集员状态估计方法的离散时间广义线性参数变化系统的基于zonotopes。系统模型和测量输出之间的一致性测试，实现了一个参数化的交叉地带相对于校正矩阵。通过定义一个带形最小化准则，我们提出了一个新的离线优化问题，以获得最佳的校正矩阵。此外，该方法还提供了交叉口地带体半径的自适应界。最后，一个案例研究与卡车拖车系统来说明所提出的方法。
This technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with respect to a correction matrix. With a defined zonotope minimization criterion, we propose a novel offline optimization problem to obtain the optimal correction matrix. In addition, with the proposed approach, an adaptive bound of the radius of the intersection zonotope is also provided. Finally, a case study with a truck-trailer system is shown to illustrate the proposed approach.