Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 9160-9179 of 37349
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Distributed Kalman filtering in presence of unknown outer network actuations
(Journal article; Peer reviewed, 2019)This letter presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes ... -
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries
(Chapter, 2021)This paper proposes a privacy-preserving distributed Kalman filter (PP-DKF) to protect the private information of individual network agents from being acquired by honest-but-curious (HBC) adversaries. The proposed approach ... -
Distributed Kalman filtering: Consensus, diffusion, and mixed
(Chapter, 2018)A distributed Kalman filtering technique is developed for tracking state-space processes via sensor networks. Considering the optimal solution to multi-agent sequential filtering of linear Gaussian state-space processes, ... -
Distributed learning for wind farm optimization with Gaussian processes
(Journal article; Peer reviewed, 2020) -
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning
(Chapter, 2021)We develop a new algorithm for distributed learning with non-smooth regularizers and feature partitioning. To this end, we transform the underlying optimization problem into a suitable dual form and solve it using the ... -
Distributed Learning with Non-Smooth Objective Functions
(Chapter, 2020)We develop a new distributed algorithm to solve a learning problem with non-smooth objective functions when data are distributed over a multi-agent network. We employ a zeroth-order method to minimize the associated augmented ... -
Distributed Ledger and Decentralised Technology Adoption for Smart Digital Transition in Collaborative Enterprise
(Peer reviewed; Journal article, 2021)Digital transformation of Collaborative Enterprise (CE), both in terms of planning and implementation, relies on new business models and innovative technologies. One of such technologies is Distributed Ledger Technology ... -
Distributed Model Predictive Control of Interconnected Nonlinear Systems by Dynamic Dual Decomposition
(Chapter, 2014)A suboptimal approach to distributed Nonlinear Model Predictive Control (NMPC) for systems consisting of nonlinear subsystems with nonlinearly coupled dynamics subject to both state and input constraints is proposed. The ... -
Distributed motion sensing on ships
(Journal article; Peer reviewed, 2017)A current trend is autonomous transport of goods and people in the air, at land, and at sea. For safe and reliable operations, autonomous systems require sensors that replace, or even exceed, the senses of a human operator. ... -
Distributed MPC for Formation Path-Following of Multi-Vehicle Systems
(Peer reviewed; Journal article, 2022)The paper considers the problem of formation path-following of multiple vehicles and proposes a solution based on combining distributed model predictive control with parametrizations of the trajectories of the vehicles ... -
Distributed Nonlinear Model Predictive Control by Sequential Linearization and Accelerated Gradient Method
(Journal article; Peer reviewed, 2016)A suboptimal approach to distributed NMPC for nonlinear interconnected systems subject to constraints is proposed. The objective is to develop a computationally efficient approach. The suggested method is based on a ... -
A distributed object-oriented simulator framework for marine power plants with weak power grids
(Peer reviewed; Journal article, 2022)In this work, we discuss and demonstrate how multi-engine marine power plants with weak power grids efficiently can be set up and simulated in a distributed co-simulation framework. To facilitate configuration switching ... -
Distributed Personal Password Repository using Secret Sharing
(Journal article; Peer reviewed, 2018)Secret sharing based systems can provide both data secrecy and recoverability simultaneously. This is achieved by a special cryptographical splitting of the data, where the parts, called shares, are distributed among a ... -
Distributed quantile regression with non-convex sparse penalties
(Peer reviewed; Journal article, 2023)The surge in data generated by IoT sensors has increased the need for scalable and efficient data analysis methods, particularly for robust algorithms like quantile regression, which can be tailored to meet a variety of ... -
Distributed Quasi-Nonlinear Model Predictive Control with Contractive Constraint
(Journal article; Peer reviewed, 2018)An approach to low complexity distributed MPC of nonlinear interconnected systems with coupled dynamics subject to both state and input constraints is proposed. It is based on the idea of introducing a contractive constraint ... -
Distributed Ridge Regression with Feature Partitioning
(Chapter, 2019)We develop a new distributed algorithm to solve the ridge regression problem with feature partitioning of the observation matrix. The proposed algorithm, named D-Ridge, is based on the alternating direction method of ... -
Distributed Selective Harmonic Mitigation and Decoupled Unbalance Compensation by Coordinated Inverters in Three-Phase Four-Wire Low-Voltage Networks
(Peer reviewed; Journal article, 2020)Considering the high penetration of distributed generators in low-voltage grids, establishing a coordinated operation of their grid-tied inverters has become imperative to move towards the implementation of smart grids.Yet, ... -
Distributed sensing of loads acting against the hull of a stationkeeping vessel in ice
(Chapter, 2018)This paper introduces the concept of distributed motion sensing for stationkeeping vessels in ice infested waters. During the SKT 2017 project, conducted in February and March 2017 in the Bay of Bothnia, five inertial ... -
Distributed Tracking Via Simultaneous Perturbation Stochastic Approximation-Based Consensus Algorithm
(Chapter, 2019)Networked systems comprised of multiple nodes with sensing, processing, and communication capabilities are able to provide more accurate estimates of some state of a dynamic process through communication between the network ... -
Distributed Trust Empowerment for Secure Offline Communications
(Peer reviewed; Journal article, 2022)