Due to its potential applications in robotics and navigation, recent years have witnessed
some progress in Kalman filter (KF) with norm constraints on the state. A noticeable …

In this paper, the filtering problem is investigated for a class of discrete systems with linear
equality constraints. The system under consideration is subject to both noises and time …

The state of many dynamic systems evolves subject to some equality constraints. Most
existing work focuses on developing state estimation algorithms for an equality-constrained …

This paper develops a stop-line-aided cooperative positioning framework for connected
vehicles, which creatively utilizes the location of the stop-line to achieve the positioning …

This contribution proposes a recursive, computationally efficient, ready-to-use, online
method for the ellipsoidal state characterization for linear discrete-time models with additive …

This paper investigates the state estimation issue for uncertain networked systems
considering data transmission time-delay and cross-correlated noises. A distributed robust …

The authors investigate the problem of state estimation for stochastic hybrid dynamical
systems with state equality constraints. They divided this problem into three categories …

In many dynamic systems, the evolution of the state is subject to specific constraints. In
general, constraints cannot easily be integrated into the prediction-correction structure of the …

This paper aims at solving the state filtering problem for linear systems with state constraints.
Three classes of typical state constraints, ie, linear equality, quadratic equality and …

This paper presents an indoor pedestrian positioning method that considers the line-
constraint of trajectory and the correction based on historical heading. Firstly, the height is …