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Optimization-based Tuning of Low-bandwidth Control in Spatially Distributed Systems
Optimization-based Tuning Low-bandwidth Control Spatially Distributed Systems
2015/7/10
We describe a new method for tuning a certain family of low-bandwidth controllers for linear time-invariant and spatially-invariant (LTSI) plants. We consider LTSI controllers with a fixed structure, ...
Fast Linear Iterations for Distributed Averaging
Distributed consensus Linear system Spectral radius Graph Laplacian Semide!nite programming
2015/7/10
We consider the problem of finding a linear iteration that yields distributed averaging consensus over a network, i.e., that asymptotically computes the average of some initial values given at the nod...
Designing Fast Distributed Iterations via Semidefinite Programming
Designing Fas Distributed Iterations Semidefinite Programming
2015/7/10
The general setting we consider involves a process, iteration, or method in which the computation or communication at each step is local, determined by a given graph, and involves some parameters or c...
MP-DSM: A Distributed Cross Layer Network Control Protocol
network management TCP optimization and control QoS cross layer utility functions
2015/7/10
We present a distributed cross layer approach to controlling the network performance under various QoS requirements in interference limited systems. The interaction between the different layers of the...
Distributed Optimization for Cooperative Agents: Application to Formation Flight
Distributed Optimization Cooperative Agents Application Formation Flight
2015/7/10
We present a simple decentralized algorithm to solve optimization problems involving cooperative agents. Cooperative agents share a common objective and simultaneously pursue private goals. Furthermor...
A Decomposition Approach to Distributed Analysis of Networked Systems
Decomposition Approach Distributed Analysis Networked Systems
2015/7/10
We present a simple distributed algorithm for analyzing well-posedness and stability of a system composed of different sub-units, interconnected over an arbitrary graph. The procedure consists in solv...
A Scheme for Robust Distributed Sensor Fusion Based on Average Consensus
Scheme Robust Distributed Sensor Fusion Based Average Consensus
2015/7/10
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
Distributed Estimation via Dual Decomposition
Distributed Estimation via Dual Decomposition
2015/7/10
The focus of this paper is to develop a framework for distributed estimation via convex optimization. We deal with a network of complex sensor subsystems with local estimation and signal processing. M...
Design of Low-Bandwidth Spatially Distributed Feedback
Distributed system control multidimensional optimization PID bandwidth loopshaping
2015/7/9
The paper considers a family of linear time-invariant and spatially-invariant (LTSI) systems that are both distributed and localized. The spatial responses of the distributed plant are localized in sp...
Distributed estimation via dual decomposition
Stochastic control Model predictive control Linear matrix inequality
2015/7/9
We develop computational bounds on performance for causal state feedback stochastic control with linear dynamics, arbitrary noise distribution, and arbitrary input constraint set. This can be very use...
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Distributed Optimization Statistical Learning via Alternating Direction Method Multipliers
2015/7/9
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Block Splitting for Large-Scale Distributed Learning
Block Splitting Large-Scale Distributed Learning
2015/7/9
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
A Distributed Algorithm for Fitting Generalized Additive Models
Convex optimization Distributed optimization Generalized additive models
2015/7/9
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
Block Splitting for Distributed Optimization
Distributed optimization · Alternating direction method of multipliers Operator splitting Proximal operators Cone programming Machine learning
2015/7/9
This paper describes a general purpose method for solving convex optimization problems in a distributed computing environment. In particular, if the problem data includes a large linear operator or ma...
Distributed Power Control for Time-Varying Wireless Networks: Optimality and Convergence
Distributed Power Control Time-Varying Wireless Networks Optimality Convergence
2015/7/8
This paper presents a new distributed power control algorithm for ad-hoc wire- less networks in random channel environments. Previous work in this area has focused on distributed power control for ad-...