This paper studies a distributed consensus tracking control problem for a class of stochastic linear multi-agent systems subject to two types of attacks. The problem boils down to how to achieve robust consensus tracking of multi-agent systems with switching connected and disconnected directed topologies under attacks. The attacks on the edges instead of nodes lead to the loss of consensus trac...

The interest in distributed maximum power point tracking increases along with increasing deployment of photovoltaic generators and the constant pressure to reduce the cost of photovoltaic generated energy. Distributed maximum point tracking facilitates a significant boost of captured photovoltaic power. In this paper we compare different distributed maximum power point architectures, and catego...

OF THE DISSERTATION Distributed Tracking Algorithms for Multi-Agent Systems to Solve the Leader-Follower Flocking of Lagrange Networks and Dynamic Average Tracking Problem of Second-Order Systems by Sheida Ghapani Doctor of Philosophy, Graduate Program in Electrical Engineering University of California, Riverside, December 2016 Prof. Wei Ren, Chairperson A multi-agent system is defined as a col...

in this paper, an adaptive fuzzy control scheme is proposed for a class of perturbed strict-feedback nonlinear systems with unknown discrete and distributed time-varying delays, and the proposed design method does not require a priori knowledge of the signs of the control gains.based on the backstepping technique, the adaptive fuzzy controller is constructed. the main contributions of the paper...

Multi-robot tracking of mobile target is studied in the paper, which is based on the communication and sensors. For an independent tracking robot, the processes are separated into three layers and four tasks, and allocated to different robots for distinct roles in tracking, which is named the Distributed Decision Control System (DDCS). After that, two tracking models, centralized and distribute...

In order to fuse data from a distributed sensor system, different fusion architectures can be chosen. In this work, distributed data fusion has been applied to data from a ground sensor network. Measurements have been made using five seismic and five acoustic sensor nodes, each consisting of three sensors, on vehicles of five different types. The data were analyzed off-line to achieve tracking ...

In this paper, distributed positioning and tracking schemes for cluster-based wireless sensor networks (WSNs) are presented. We focus on the cases with overlapping cluster regions, which are particularly useful in applications involving inter-cluster communications, time synchronization, and target tracking. In overlapping clustering, the duplicated correlated data between adjacent clusters may...

multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...

Motivated by the resource management problem in nonlinear multi-sensor tracking networks, the paper derives online, distributed estimation algorithms for computing the posterior Cramér-Rao lower bound (PCRLB) for full-order and reduced-order distributed Bayesian estimators without requiring a fusion centre and with nodal communications limited to local neighborhoods. For both cases, Riccati-typ...

Problem statement: Target tracking is a challenging application in Wireless Sensor Networks (WSNs) because it is computation-intensive and requires real-time location processing. This study proposes a practical target tracking system based on the Hidden Markov Model in a distributed signal processing framework. In this framework, wireless sensor nodes perform target detection and tracking, wher...