Distributed cooperative control of multi-agent systems has been one of the most active research topics in the fields of automatic control and robotics. This paper provides a survey …
T Wang, H Gao, J Qiu - IEEE Transactions on Neural Networks …, 2015 - ieeexplore.ieee.org
This paper investigates the multirate networked industrial process control problem in double- layer architecture. First, the output tracking problem for sampled-data nonlinear plant at …
Sentiment analysis is a critical task of extracting subjective information from online text documents. Ensemble learning can be employed to obtain more robust classification …
Selective ensemble is a learning paradigm that follows an “overproduce and choose” strategy, where a number of candidate classifiers are trained, and a set of several classifiers …
L Cheng, ZG Hou, M Tan - IEEE Transactions on Automatic …, 2013 - ieeexplore.ieee.org
The mean square consensus of linear multi-agent systems with communication noises is studied in this note. Each agent is modeled by a continuous-time linear time-invariant …
X Xiang, C Liu, H Su, Q Zhang - ISA transactions, 2017 - Elsevier
In this study, a novel decentralized adaptive full-order sliding mode control framework is proposed for the robust synchronized formation motion of multiple unmanned aerial vehicles …
This note further studies the previously proposed consensus protocol for linear multi-agent systems with communication noises. Each agent is allowed to have its own time-varying …
The stochastic consensus problem of linear multi-input multi-output (MIMO) multi-agent systems (MASs) with communication noises and Markovian switching topologies is studied …
D Wang, N Zhang, J Wang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper is concerned with the problem of average consensus control for multi-agent systems with linear and Lipschitz nonlinear dynamics under a switching topology. First, a …