This is the fifth part of a series of papers that provide a comprehensive survey of techniques
for tracking maneuvering targets without addressing the so-called measurement-origin …

Target tracking is a hybrid estimation problem involving both continuous and discrete
uncertainties [31]. In the prevailing approaches to target tracking, the modeling of the target …

A general multiple-model (MM) estimator with a variable structure (VSMM), railed model-
group switching (MGS) algorithm, is presented. It assumes that the total set of models can be …

For pt. I see ibid., vol. 41, p. 487-93 (1996). An important, natural, and practical approach to
variable-structure multiple-model (VSMM) estimation is the recursive adaptive model-set …

For pt. IV see ibid., vol. 35, no. 1, p. 242-254 (1999). A multiple-model (MM) estimator with a
variable structure, called likely-model set (LMS) algorithm, is presented, which is generally …

The trajectory estimation of a highly maneuvering target is a challenging problem and has
practical applications. The interacting multiple model (IMM) filter is a well-established …

Mobility is a significant robotic task. It is the most important function when robotics is applied
to domains such as autonomous cars, home service robots, and autonomous underwater …

Multiple-model approach provides the state-of-the-art solutions to many problems involving
estimation, filtering, control, and/or modeling. One of the most important problems in the …

The latest development of multi-robot collaborative systems has put forward higher
requirements for multi-sensor fusion localization. Current position methods mainly focus on …

This paper proposes a new interacting multiple model (IMM) filter for actuator fault detection.
Since each individual filter of the IMM filter uses the combined information of the estimation …