Consensus control of stochastic multi-agent systems: a survey
In this article, we provide a review of the consensus control problem for stochastic multi-
agent systems (MASs). Recent advances are surveyed according to the method of …
agent systems (MASs). Recent advances are surveyed according to the method of …
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
J Hu, Z Wang, D Chen, FE Alsaadi - Information Fusion, 2016 - Elsevier
In this paper, some recent advances on the estimation, filtering and fusion for networked
systems are reviewed. Firstly, the network-induced phenomena under consideration are …
systems are reviewed. Firstly, the network-induced phenomena under consideration are …
Identification of rice diseases using deep convolutional neural networks
Y Lu, S Yi, N Zeng, Y Liu, Y Zhang - Neurocomputing, 2017 - Elsevier
The automatic identification and diagnosis of rice diseases are highly desired in the field of
agricultural information. Deep learning is a hot research topic in pattern recognition and …
agricultural information. Deep learning is a hot research topic in pattern recognition and …
Resilient control design for lateral motion regulation of intelligent vehicle
XH Chang, Y Liu, M Shen - IEEE/ASME Transactions on …, 2019 - ieeexplore.ieee.org
This article studies the state-feedback resilient control problem for lateral motion regulation
of an intelligent vehicle in the presence of randomly occurring uncertainties. First, the …
of an intelligent vehicle in the presence of randomly occurring uncertainties. First, the …
State estimation for discrete-time dynamical networks with time-varying delays and stochastic disturbances under the round-robin protocol
This paper is concerned with the state estimation problem for a class of nonlinear dynamical
networks with time-varying delays subject to the round-robin protocol. The communication …
networks with time-varying delays subject to the round-robin protocol. The communication …
An event-triggered approach to state estimation for a class of complex networks with mixed time delays and nonlinearities
In this paper, the state estimation problem is investigated for a class of discrete-time complex
networks subject to nonlinearities, mixed delays, and stochastic noises. A set of event-based …
networks subject to nonlinearities, mixed delays, and stochastic noises. A set of event-based …
Event-triggered H∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays
Q Li, B Shen, Y Liu, FE Alsaadi - Neurocomputing, 2016 - Elsevier
In this paper, the event-triggered H∞ state estimation problem is investigated for a class of
discrete-time stochastic genetic regulatory networks with both Markovian jumping …
discrete-time stochastic genetic regulatory networks with both Markovian jumping …
A hidden mode observation approach to finite-time SOFC of Markovian switching systems with quantization
This paper investigates the finite-time static output feedback control of Markovian switching
systems, where quantization effects are taken into consideration from plant to controller and …
systems, where quantization effects are taken into consideration from plant to controller and …
On H-infinity estimation of randomly occurring faults for a class of nonlinear time-varying systems with fading channels
This technical note is concerned with the finite-horizon H∞ fault estimation problem for a
class of nonlinear stochastic time-varying systems with both randomly occurring faults and …
class of nonlinear stochastic time-varying systems with both randomly occurring faults and …
New stability and stabilization conditions of switched systems with mode-dependent average dwell time
In this paper, the problems of stability and stabilization for switched systems with mode-
dependent average dwell time (MDADT) switching are revisited and discussed in both …
dependent average dwell time (MDADT) switching are revisited and discussed in both …