Economic nonlinear model predictive control
Abstract In recent years, Economic Model Predictive Control (EMPC) has received
considerable attention of many research groups. The present tutorial survey summarizes …
considerable attention of many research groups. The present tutorial survey summarizes …
Differentially private distributed optimization via state and direction perturbation in multiagent systems
This article studies the problem of distributed optimization in multiagent systems where each
agent seeks to minimize the sum of all agents' objective functions using only local …
agent seeks to minimize the sum of all agents' objective functions using only local …
Predefined-time formation control for multiagent systems-based on distributed optimization
This article presents a solution to the leaderless formation control problem for first-order
multiagent systems, which minimizes a global function composed of a sum of local strongly …
multiagent systems, which minimizes a global function composed of a sum of local strongly …
Recent survey of large-scale systems: Architectures, controller strategies, and industrial applications
Complex, dynamical systems, often of a high order, composed of several interconnected
subsystems, are referred to as large-scale systems (LSSs). This article presents a survey of …
subsystems, are referred to as large-scale systems (LSSs). This article presents a survey of …
Differential privacy in distributed optimization with gradient tracking
In recent years, there has been a growing interest in distributed optimization, which
collaboratively attains an optimum by exchanging information with neighbours. Among the …
collaboratively attains an optimum by exchanging information with neighbours. Among the …
Model predictive control of energy storage systems for power tracking and shaving in distribution grids
In this paper, a model predictive control (MPC) strategy is proposed to control the energy
flows in a distribution network node (eg, a distribution substation) equipped with an electric …
flows in a distribution network node (eg, a distribution substation) equipped with an electric …
Hierarchical distributed model predictive control of interconnected microgrids
In this work, we propose a hierarchical distributed model predictive control strategy to
operate interconnected microgrids (MGs) with the goal of increasing the overall infeed of …
operate interconnected microgrids (MGs) with the goal of increasing the overall infeed of …
How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks
Most countries have started vaccinating people against COVID-19. However, due to limited
production capacities and logistical challenges it will take months/years until herd immunity …
production capacities and logistical challenges it will take months/years until herd immunity …
A mean-field game method for decentralized charging coordination of a large population of plug-in electric vehicles
This paper develops a decentralized competitive charging coordination algorithm for a large
population of plug-in electric vehicles (PEVs) using the concept of a mean-field (MF) game …
population of plug-in electric vehicles (PEVs) using the concept of a mean-field (MF) game …
Relentless false data injection attacks against Kalman-filter-based detection in smart grid
Y Liu, L Cheng - IEEE Transactions on Control of Network …, 2022 - ieeexplore.ieee.org
As one of the most dangerous cyber attacks in smart grids, the false data injection attacks
pose a serious threat to power system security. To detect the false data, the traditional …
pose a serious threat to power system security. To detect the false data, the traditional …