An overview of recent advances in event-triggered consensus of multiagent systems

L Ding, QL Han, X Ge, XM Zhang - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention
from both theoretical and practical perspectives due to the fact that it enables all agents …

Event/self-triggered control for leader-following consensus over unreliable network with DoS attacks

W Xu, DWC Ho, J Zhong, B Chen - IEEE transactions on neural …, 2019 - ieeexplore.ieee.org
This paper investigates the leader-following consensus issue with event/self-triggered
schemes under an unreliable network environment. First, we characterize network …

Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization

MF Leung, J Wang - Neural Networks, 2022 - Elsevier
Portfolio optimization is one of the most important investment strategies in financial markets.
It is practically desirable for investors, especially high-frequency traders, to consider …

Active disturbance rejection‐based event‐triggered bipartite consensus control for nonaffine nonlinear multiagent systems

Z Cao, B Niu, G Zong, X Zhao… - International Journal of …, 2023 - Wiley Online Library
This article investigates the active disturbance rejection‐based distributed event‐triggered
bipartite consensus problem of nonaffine nonlinear multiagent systems with input saturation …

Distributed optimization for multiagent systems: An edge-based fixed-time consensus approach

B Ning, QL Han, Z Zuo - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
This paper deals with the problem of distributed optimization for multiagent systems by using
an edge-based fixed-time consensus approach. In the case of time-invariant cost functions …

Adaptive parameter estimation for a general dynamical system with unknown states

X Zhang, F Ding - … Journal of Robust and Nonlinear Control, 2020 - Wiley Online Library
This paper is concerned with the design of a state filter for a time‐delay state‐space system
with unknown parameters from noisy observation information. The key is to investigate new …

Minimax and biobjective portfolio selection based on collaborative neurodynamic optimization

MF Leung, J Wang - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
Portfolio selection is one of the important issues in financial investments. This article is
concerned with portfolio selection based on collaborative neurodynamic optimization. The …

A two-timescale duplex neurodynamic approach to mixed-integer optimization

H Che, J Wang - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
This article presents a two-timescale duplex neurodynamic approach to mixed-integer
optimization, based on a biconvex optimization problem reformulation with additional …

Collaborative annealing power k-means++ clustering

H Li, J Wang - Knowledge-Based Systems, 2022 - Elsevier
Clustering is the most fundamental technique for data processing. This paper presents a
collaborative annealing power k-means++ clustering algorithm by integrating the k-means++ …

Distributed optimal economic environmental dispatch for microgrids over time-varying directed communication graph

LN Liu, GH Yang - IEEE Transactions on Network Science and …, 2021 - ieeexplore.ieee.org
This paper investigates the combined economic environmental dispatch problem of
Microgrids in a distributed manner. In order to optimize the competing agminated operation …