Optimization Methods & SoftwareKostousova, E.K., State Estimation for Dynamical Systems via Parallelotopes: Optimization and Parallel Computations, Optim. Methods Softw. , 1998, vol. 9, no. 4, pp. 269–306. MATH MathSciNetKostousova, EK (1998) State estimation for dynamic systems via ...
A new state estimation scheme is presented for multidimensional dynamic systems. The state vector is estimated, component-by-component, by the parallel use of the stack sequential decoding algorithms of information theory. A faster state estimation is accomplished with this scheme for longer time ...
State and Parameter Estimation for Dynamic Systems with Colored Noise: An Accuracy Approach Based on the Minimum Discrepancy Measure 来自 Semantic Scholar 喜欢 0 阅读量: 23 作者:RM Chen,S Chang 摘要: In this paper we will consider the Neumann boundary-value problem for the non-linear Helmholtz ...
In this paper, a state estimation method based on Phasor Measurement Units (PMUs) is proposed for the real-time monitoring of power systems under various operating conditions. This PMU-based Robust Dynamic State Estimator (PRDSE) makes feasible the combination of historical measurements, obtained ...
State estimation, or data assimilation as it is often referred to in the geosciences, forms the backbone of modern machinery for fusing noisy sensor data with mathematical models of complex systems in many important areas of science, engineering and finance. For example, in robotics systems, state...
Advanced battery management systems (BMS) are required to enhance the safety and longevity of lithium-ion cells, and apply corrective measures when operational limits are exceeded. Accurate real-time estimation of state-of-charge (SOC) is a critical task for the BMS. At present, EVs are the ...
For pose estimation using DeepLabCut, the behavior of pairs of mice in the enclosure was recorded at 15 Hz. For behavioral motion segmentation (MoSeq21), female mice were recorded for 20 min while they were freely exploring an arena (length/width/height 45 × 25 × 40 cm)...
calhoun: the nps institutional archive dspace repository a sparse-grid ukf for the state estimation of pdes a sparse-grid ukf for the state estimation of p... Determining the initial conditions for high-resolution combat models presents a challenging modeling problem. These initial conditions can ha...
This example explores different techniques to estimate the state of charge (SOC) of a battery, including the Kalman filter algorithm and the Coulomb counting method. The Kalman filter is an estimation algorithm that infers the state of a linear dynamic system from incomplete and noisy measurements....
Timely and precise traffic state estimation of urban roads is significant for urban traffic management and operation. However, most of the advanced studies focus on building complex deep learning str...