Techniques for diagnosing faults in hybrid systems that combine digital (discrete)
supervisory controllers with analog (continuous) plants need to be different from those used …

Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

This article presents a number of complementary algorithms for detecting faults on-board
operating robots, where a fault is defined as a deviation from expected behavior. The …

In recent years several approaches have been proposed for model-based diagnosis of
hybrid systems. These approaches deal with discrete or parametric faults, and perform …

Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial
vehicle (UAV) development, where attitude estimation plays a key role in flight control …

Many networked embedded sensing and control systems can be modeled as hybrid systems
with interacting continuous and discrete dynamics. These systems present significant …

This work aims to promote reliability and integrity in autonomous perceptual systems, with a
focus on outdoor unmanned ground vehicle (UGV) autonomy. For this purpose, a …

Multirobot systems are being increasingly used for a variety of tasks in manufacturing,
surveillance, and space exploration. These systems can degrade or develop faults during …

Jump Markov Linear Systems are convenient models for systems that exhibit both
continuous dynamics and discrete mode changes. Estimating the hybrid discrete-continuous …

State estimation is a major problem in industrial systems, particularly in industrial robotics.
To this end, Gaussian and nonparametric filters have been developed. In this paper, the …