D
Dajun Du
Researcher at Shanghai University
Publications - 132
Citations - 1303
Dajun Du is an academic researcher from Shanghai University. The author has contributed to research in topics: Computer science & Inverted pendulum. The author has an hindex of 16, co-authored 108 publications receiving 921 citations. Previous affiliations of Dajun Du include Chinese Ministry of Education.
Papers
More filters
Journal ArticleDOI
ADMM-Based Distributed State Estimation of Smart Grid Under Data Deception and Denial of Service Attacks
TL;DR: An alternating direction method of multipliers-based distributed state estimation method is developed to overcome the limitation of conventional state estimation and performance analysis of smart grid against a single type of cyber attacks.
Journal ArticleDOI
Adaptive event-triggered communication scheme for networked control systems with randomly occurring nonlinearities and uncertainties
TL;DR: An adaptive event-triggered communication scheme for NCSs is proposed, which can adaptively adjust the trigger parameter with respect to the dynamic error to save the limited network resources while ensuring the desired control performance.
Journal ArticleDOI
Multiple event-triggered H2/H∞ filtering for hybrid wired-wireless networked systems with random network-induced delays
TL;DR: The designed filter enables the filtering error dynamic system to be stochastic stability and to achieve a prescribed performance, and the relationships between the stability criteria and the maximum network-induced delays of hybrid wired-wireless networks, the event-triggered parameters and the system performance parameter are established.
Journal ArticleDOI
Probabilistic optimal power flow for power systems considering wind uncertainty and load correlation
TL;DR: The proposed POPF model for wind-integration power system is firstly proposed, and two kinds of schemes in point estimate method, 2m and 2m+1 scheme, are employed to solve the probabilistic optimal power flow calculation.
Journal ArticleDOI
Decentralized event-triggering communication scheme for large-scale systems under network environments
TL;DR: A heuristic algorithm is presented to optimize the parameters of DETC to reduce the occupancy of the network resources induced by DETC, and a stability criterion and a stabilization criterion are derived for ensuring that the solution of studied system is uniformly ultimately bounded (UUB).