This article proposes an adaptive nonlinear control strategy to eliminate the instability
problem of buck converters in dc microgrids (DCMG) considering constant power load …

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear
systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive …

The Kalman filter (KF) is used extensively for state estimation. Among its requirements are
the process and observation noise covariances, which are unknown or partially known in …

The optimal linear Kalman filters (Kalman, 1960b) and their approximative non-linear
extensions (non-linear Kalman filters) for state estimation of stochastic dynamic systems …

This article develops a comprehensive framework for stability analysis of a broad class of
commonly used continuous-and discrete-time filters for stochastic dynamic systems with …

This paper studies the control of the geometric profile of a librating electrodynamic tether by
model predictive control using the induced electric current in tether only. First, a high-fidelity …

Because of multiple advantages such as high bandwidth, high security, and flexible
networking, the free space optical communication (FSO) has attracted more and more …

If a dynamic system has active constraints on the state vector and they are known, then
taking them into account during modeling is often advantageous. Unfortunately, in the …

The distance constraint can enhance the state estimation performance of a multi-sensor
positioning system. However, the existing methods encounter problems such as low state …

In this paper, the authors analyze the stochastic stability of the H∞ Sparse-grid Quadrature
Kalman Filtering (H∞-SGQKF) used in nonlinear stochastic discrete-time systems with …