Engineering approach to construct robust filter for mismatched nonlinear dynamic systemsNONLINEAR dynamical systemsNONLINEAR systemsENGINEERINGKALMAN filteringThis article proposes a novel approach to design a
Notably, the weight matrices of the networks are designed according to the system model, eliminating the need for a learning process. The efficacy of the approach is evaluated by proposing a spiking framework based on an extended Kalman filter (EKF). Through comprehensive Monte-Carlo simulations, ...
This section gives the core algorithm, parameters influence and stability of the proposed filter for the considered system. Firstly, the algorithm flow is given. Then, the selection influence of some key parameters of the proposed filters. Finally, we investigate the numerical stability of the propo...
In this paper, the robust filter design problem is studied for a class of uncertain dynamical systems with finite-step correlated process noises and missing measurements. The dynamical system under consideration is subject to both deterministic norm-bounded uncertainties in the measurement output and ...
The method is based on the assumption that the fault and the unknown disturbance affect both the system state and the output, and no prior knowledge about their dynamical evolution is available. By making use of an optimal three-stage Kalman filtering method, an augmented fault and unknown ...
System Robustness 1 Introduction In the past several decades, robust filtering problem has received extensive attention of people. The current study of robust filtering mainly concentrated on two aspects: Kalman filter and H∞ filter. Among them, the research of H∞ filter is wider, and many im...
期刊名称:《International Journal of Robust and Nonlinear Control》 | 2021年第3期 关键词: linearly constrained extended Kalman filter; model mismatch; robust filtering; robust vehicle navigation; 29.An improved robust model predictive control for linear parameter‐varying input‐output models 机译:一种...
Fault detection (FD) is important for health monitoring and safe operation of dynamical systems. Previous studies use model-based approaches which are sensitive to system specifics, attenuating the robustness. Data-driven methods have claimed accurate performances which scale well to different cases, bu...
As a result, an online tuning fuzzy PID controller based a robust extended Kalman filter is one solution to achieve the better control performance. Consider an error function given by(8)where yr and y are the reference input for control task of the system (or named the target value) and ...
Standard Kalman filter predicts state of the system and then tunes that with the help of newly arrived observations. But in the case of insufficient data the question arises as how to compensate the loss of observation in the state estimation. In this paper a robust estimation design is ...