title: Robust particle filter for state estimation using measurements with different types of gross errors.
abstract: For industrial processes, the state estimation plays a key role in various applications, such as process monitoring and model based control. Although the particle filter (PF) is able to deal with nonlinear and non-Gaussian processes, it rarely considers the influence of measurements with gross errors, such as outliers, biases and drifts. Nevertheless, measurements of dynamical systems are often influenced by different types of gross errors. This paper proposes a robust PF approach, in which gross error identification is used to estimate magnitudes of gross error. The gross errors can be removed or compensated so that a feasible set of particle sampling can contain the true states of the system. The proposed robust PF approach is implemented on a complex nonlinear dynamic system, the free radical polymerization of styrene. The application results show that the proposed approach is an appealing alternative to solving PF estimation problems with measurements containing gross errors.
authors.affiliation: College of Electrical & Information Engineering, Hunan University, Hunan, Changsha 410082, People's Republic of China; College of Physic & Electronic Information Engineering, Wenzhou University, Zhejiang, Wenzhou 325000, People's Republic of China.
authors.forename: Zhiliang
authors.initials: Z
authors.lastname: Zhu
authors.affiliation: College of Electrical & Information Engineering, Hunan University, Hunan, Changsha 410082, People's Republic of China.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Meng
authors.affiliation: College of Physic & Electronic Information Engineering, Wenzhou University, Zhejiang, Wenzhou 325000, People's Republic of China. Electronic address: zzjiang108@gmail.com.
authors.forename: Zhengjiang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taoyuan 32023, Taiwan, ROC. Electronic address: jason@wavenet.cycu.edu.tw.
authors.forename: Junghui
authors.initials: J
authors.lastname: Chen
authors.affiliation: College of Physic & Electronic Information Engineering, Wenzhou University, Zhejiang, Wenzhou 325000, People's Republic of China.
authors.forename: Yuxing
authors.initials: Y
authors.lastname: Dai
keywords: Gross error; Measurement compensation; Particle filter; State estimation