Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"distributed estimation"”.
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Distributed estimation algorithms for autonomous systems
… investigates the theory and applications of distributed estimation algorithms. It was found that for specific objective functions, general meshes of distributed agents may estimate a state while maintaining a consensus over its PDF and satisfying communication/localization objective …
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Resource Management for Distributed Estimation via Sparsity-Promoting Regularization
… networks are often tasked to perform parameter estimation; example applications include battlefield surveillance, medical monitoring, and navigation. However, under limited resources, such as limited communication bandwidth and sensor battery power, it is important to design an energy-efficient …
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Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks
<p>Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate several issues related to distributed inference in sensor networks, emphasizing parameter estimation and target tracking with …
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Distributed estimation and control technologies for formation flying spacecraft by Philip Andrew Ferguson.
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2003.
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Investigation of Communication Constraints in Distributed Multi-Agent Systems
… constraints have been conducted, including distributed estimation of global features, the influence of jamming, and communication performance optimization. In flocking control, it is necessary to achieve a common velocity among agents and maintain a safe distance between neighboring agents. …
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Distributed parameter estimation for complex energy systems
… neighboring components. We then propose to use a distributed estimation method for obtaining the parameters of the the component's internal model based on the measurements at its interfaces. We check whether theoretical conditions for distributed estimation approach are met and validate the …
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State Estimation for Distributed and Hybrid Systems
… thesis deals with two aspects of recursive state estimation: distributed estimation and estimation for hybrid systems. In the first part, an approximate distributed Kalman filter is developed. Nodes update their state estimates by linearly combining local measurements and estimates from their …
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Copula-based Multimodal Data Fusion for Inference with Dependent Observations
… to characterize this dependence.</p> <p>In distributed detection, the goal often is to minimize the probability of detection error at the fusion center (FC) based on a fixed number of observations collected by the sensors. We design optimal detection algorithms at the FC using a regular vine …
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Reaching Consensus with uncertainty on a network
… importance. This thesis develops a novel distributed agreement protocol that allows multiple agents to agree upon a parameter vector particularly when each agent has a unique measure of possibly non-Gaussian uncertainty in its estimate. The proposed hyperpa- rameter consensus algorithm …
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State Estimation with Unconventional and Networked Measurements
… consists of two main parts. One is about state estimation with two types of unconventional measurements and the other is about two types of network-induced state estimation problems. The two types of unconventional measurements considered are noise-free measurements and set measurements. State …
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Novel probabilistic and distributed algorithms for guidance, control, and nonlinear estimation of large-scale multi-agent systems
… in the three main areas of shape formation, distributed estimation, and attitude control of large-scale multi-agent systems. In the first part of this dissertation, we address the problem of shape formation for thousands to millions of agents. Here, we present two novel algorithms for guiding …
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Fault-tolerant control policies for multi-robot systems
… decade, we have witnessed an active interest in distributed motion coordination algorithms for networked mobile autonomous robots. Often, in multi-robot systems, each robot executing a coordination task is a little cost, a disposable autonomous agent that has ad-hoc sensing or communication …
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An information theoretic study of modeling and control of dynamical systems
… arise due to fundamental issues pertaining to estimation as opposed to the stabilization control problem. The second study is concerned with information theoretic “pseudo-metrics” for comparing two dynamical systems. It can be regarded as extending the Kolmogorov-Bode formula for model …
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Advances in Hybrid Evolutionary Computation for Continuous Optimization
… to manage the exchange of information in distributed models and adaptive hybridization strategies, just to introduce some of them briefly. In the first study, a new initialization method is designed for the distributed Evolutionary Algorithms (dEAs). This mechanism uses a topological tool …
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Collaborative Estimation in Distributed Sensor Networks
… so far has been based on two key assumptions --"distributed processing" and "temporal independence" -- that lend analytical tractability to the problem but otherwise are often found lacking in practice. This dissertation introduces novel techniques to relax these assumptions -- leading to vastly …
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Message passing algorithms - methods and applications
… state tracking, sensor networks, sensor fusion, distributed cooperative estimation, and distributed computation. Among the types of algorithms that employ some kind of message passing over the connections in a graph, the work in this dissertation will consider belief propagation and gossip …
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Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields
… study the problem of energy efficient Level set estimation (LSE) of random fields correlated in time and/or space under a total power constraint. We consider uniform sampling schemes of a sensing system with a single sensor and a linear sensor network with sensors distributed uniformly on a line …
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State Omniscience for Cooperative Local Catalog Maintenance of Close Proximity Satellite Systems
… on the agents themselves. In fact, the design of distributed estimators has been a growing interest to enable complex multi-sensor/multi-agent tasks. In such scenarios, it is important that each local estimator converges to the true global system state - a quality known as state omniscience. Most …