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On behalf of the organizing committee of the 11th IEEE International Conference on Control & Automation (IEEE ICCA 2014), we take great pleasure in extending a warm welcome to each of you attending the conference. IEEE ICCA is a major control event that runs around the world. It aims to create a forum for scientists and practicing engineers throughout the world to get together, present the latest...
Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
This paper studies distributed estimation of linear dynamical target in homogeneous sensor networks. Just some sensors can get observations of the target. A distributed estimator composing of Luenberger observers and consensus strategy is applied. Based on spectral radius analysis and algebraic graph theory, necessary conditions of distributed detectability are given for time-invariant and randomly...
In this paper, we verify a bias reduction algorithm proposed earlier through experiments. The accuracy of localization systems are influenced by many factors. Our focus is to improve the performance of localization systems by reducing the estimation bias. Many algorithms have been proposed to reduce bias, however, only simulation results are presented which only demonstrate the algorithms with ideal...
Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
In this paper, we introduce a set of sensor networks, called the cascading quadrilateral network, and study how to compute the positions of its nodes in a cooperative way. We investigate the condition for determining whether all the sensor nodes are localizable. If not, we provide a method to detect the un-localizable nodes for the whole network. The necessary and sufficient conditions for the network...
This paper studies the cooperative localization problem of sensor networks using local angle-of-arrival measurements in two scenarios. (i) The angle-of-arrival information can be mutually measured by pairs of sensors in their local frames which do not share the same orientation; (ii) The angle-of-arrival information can not be mutually measured by pairs of sensors but their local frames share the...
This paper studies the task assignment strategies for multi-agent systems to cooperatively accomplish a set of tasks while achieving a team objective that give near-optimal final assignments, in the context of simulated bushfire fighting scenario. The purpose of this research is to develop efficient strategies to employ multiple robots to cooperate to extinguish a bushfire with multiple fire fronts...
This paper proposes a new algorithm to eliminate the wiper interference in a vehicle's onboard video to improve the detection rate of vision-based Advanced Driver Assistance Systems (ADAS), such as Forward Collision Warning (FCW) Systems. During raining days, the windshield wipers periodically and partially block the appearance of obstacles on the road that are to be detected in these early warning...
This paper develops a path planning simulation method in AGI software platform for multirotor UAVs in a 3D environment with avoiding the obstacles is presented. A multi-RRT (rapidly exploring random tree, RRT) algorithm is applied to compute the preliminary flight paths.
This paper presents an advanced guidance law which is based on robust feedback linearization (RFL) concepts and design procedures for autonomous pursuit of predefined waypoints for unmanned aerial vehicles (UAVs) in the three-dimensional (3D) area. In this investigation, a nonlinear 3D model of UAV considered wind gust disturbances is used for realizing realistic flight maneuvers. In this investigation,...
Guidance law design of unmanned surface vessel (AUSV) design for ocean environment survey is as important as missions of autonomous vehicles and unmanned aerial vehicles (UAV). As the characteristic depicted, unmanned surface vessel is often used to sail under harsh climates to execute missions. However, there are many uncertainties on the ocean, such as wind gust, ocean current and irregular waves,...
This paper studies a sensor fusion method focusing on a collision avoidance system, capable of high accurate object detection by blending a camera and 2D LIDAR with the aid of pixel analysis. Pixel analysis is performed via single camera under a concern that the free space in front of vehicles is limited by objects on almost vertical surfaces. The considered problem is defined as that how to efficiently...
An optimum ship pilot plan model with unknown pilot number is presented. Based on the analysis of the difficulties to solve the problem, a pseudo travel salesman problem (TSP) model is presented to describe the model. A novel modified discrete particle swarm optimization algorithm base on the inver-over operator (IDPSO) is presented. Experiments carried out on the traveling salesman problem show that...
This paper studies the portfolio optimization problem with multiple risk measures. More specifically, we use the variance and the Safety First Principle(SFP) as a combined risk measure in mean-risk portfolio optimization model. As the SFP measures the probability that random variable falls below certain level, combining SFP in the mean-variance formulation helps to control the downside risk of the...
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