Analyzing the impact of filter bubbles on social network polarization
While social networks have increased the diversity of ideas and information available to
users, they are also blamed for increasing the polarization of user opinions. Eli Pariser's" …
users, they are also blamed for increasing the polarization of user opinions. Eli Pariser's" …
Biconmp: A nonlinear model predictive control framework for whole body motion planning
Online planning of whole-body motions for legged robots is challenging due to the inherent
nonlinearity in the robot dynamics. In this work, we propose a nonlinear model predictive …
nonlinearity in the robot dynamics. In this work, we propose a nonlinear model predictive …
Improving full-waveform inversion by wavefield reconstruction with the alternating direction method of multipliers
Full-waveform inversion (FWI) is an iterative nonlinear waveform matching procedure
subject to wave-equation constraint. FWI is highly nonlinear when the wave-equation …
subject to wave-equation constraint. FWI is highly nonlinear when the wave-equation …
Data‐driven decision‐focused surrogate modeling
We introduce the concept of decision‐focused surrogate modeling for solving
computationally challenging nonlinear optimization problems in real‐time settings. The …
computationally challenging nonlinear optimization problems in real‐time settings. The …
Dissipativity learning control (DLC): A framework of input–output data-driven control
The paper addresses data-driven control based on input–output data in the absence of an
underlying dynamic model. It proposes a dissipativity learning control (DLC) framework …
underlying dynamic model. It proposes a dissipativity learning control (DLC) framework …
Efficient learning of decision-making models: A penalty block coordinate descent algorithm for data-driven inverse optimization
Decision-making problems are commonly formulated as optimization problems, which are
then solved to make optimal decisions. In this work, we consider the inverse problem where …
then solved to make optimal decisions. In this work, we consider the inverse problem where …
An energy-aware approach for industrial internet of things in 5g pervasive edge computing environment
Driven by the rapid technological advances, industrial Internet of Things (IIoT) has recently
been embraced to enhance autonomous industrial processes. Since a huge diverse traffic …
been embraced to enhance autonomous industrial processes. Since a huge diverse traffic …
Nonlinear state-feedback design for vehicle lateral control using sum-of-squares programming
This work addresses the lateral stabilisation problem of four-wheels ground vehicles. The
objective is to estimate the largest state-space region such that the closed-loop vehicle …
objective is to estimate the largest state-space region such that the closed-loop vehicle …
A polynomial blossoming approach to stabilization of periodic time-varying systems
This paper proposes a novel polynomial blossoming approach to designing stabilizing
controller for a class of periodic time-varying systems. Utilizing multi-convexity of a non …
controller for a class of periodic time-varying systems. Utilizing multi-convexity of a non …
Understanding filter bubbles and polarization in social networks
Recent studies suggest that social media usage--while linked to an increased diversity of
information and perspectives for users--has exacerbated user polarization on many issues …
information and perspectives for users--has exacerbated user polarization on many issues …