A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

a new fault tolerant controller (ftc) has been presented in this research by integrating a fault detection and diagnosis (fdd) mechanism in a nonlinear model predictive controller framework. the proposed fdd utilizes a multi-sensor data fusion (msdf) methodology to enhance its reliability and estimation accuracy. an augmented state-vector model is developed to incorporate the occurred sensor fa...

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

Abstract This paper adopts the concept of random weighting estimation to multi-sensor data fusion. It presents a new random weighting estimation methodology for optimal fusion of multi-dimensional position data. A multi-sensor observation model is constructed for multi-dimensional position. Based on this observation model, a random weighting estimation algorithm is developed to estimate positio...

This paper explores the possibility of applying multi-sensor information fusion technology to the development of smart aircraft. This technology integrates information from multiple sensors and extracts tactical information to detect, track and identify time critical targets at any time, in any place and under all weather conditions. Such target information will help the war fighter avoid fratr...

  Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...

Multi sensor systems have performances that depend on the type of multi sensor data fusion. Multi sensor data fusion of raw detections (plots) has high performances but is seldom used in operational applications. A less efficient data fusion is preferred in the majority of operational multi sensor systems: data fusion of sensor tracks. Data fusion of sensor tracks is simpler and requires limite...

A novel interactive web application for multi focus and multi sensor image fusion is presented in this paper. Basic averaging, Laplacian pyramid, discrete wavelet transform, block-based fusion, spatial domain multi focus image fusion and optimized region based image fusion methods are also included. Users can explore several image fusion methods and compare these methods easily and efficiently ...

Because of the sensor or environment problem, the multi-sensor detection data can result in data mutation for the individual sensor. To obtain consistent, stable and accurate tested target description, the paper adopts confidence distance matrix, distance correlation coefficient and p-value significant test to get The number of optimal fusion number of multi-sensor, and uses maximum likelihood ...