Communication-protocol-based analysis and synthesis of networked systems: Progress, prospects and challenges

L Zou, Z Wang, J Hu, Y Liu, X Liu - International Journal of Systems …, 2021 - Taylor & Francis
In recent years, the communication-protocol-based synthesis and analysis issues have
gained substantial research interest owing mainly to their significance in networked systems …

A survey of the consensus for multi-agent systems

Y Li, C Tan - Systems Science & Control Engineering, 2019 - Taylor & Francis
Multi-agent systems (MASs) has developed into an emerging complex system science and
gradually infiltrated into various fields of social life. The problem of consensus (ie all agents …

A survey on sliding mode control for networked control systems

J Hu, H Zhang, H Liu, X Yu - International Journal of Systems …, 2021 - Taylor & Francis
In the framework of the networked control systems (NCSs), the components are connected
with each other over a shared band-limited network. The merits of NCSs include easy …

A survey on state estimation of complex dynamical networks

J Hu, C Jia, H Liu, X Yi, Y Liu - International Journal of Systems …, 2021 - Taylor & Francis
The analysis and synthesis issues have gained widespread attention for complex dynamical
networks (CDNs) over the past few years. Accordingly, some challenges including protocol …

Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements

J Hu, Z Wang, GP Liu, C Jia, J Williams - Automatica, 2020 - Elsevier
In this paper, the design problem of recursive state estimator is discussed for a class of
coupled nonlinear dynamical networks with randomly switching topologies and multiple …

Partial-node-based state estimation for delayed complex networks under intermittent measurement outliers: A multiple-order-holder approach

L Zou, Z Wang, J Hu, H Dong - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article is concerned with the partial-node-based (PNB) state estimation problem for
delayed complex networks (DCNs) subject to intermittent measurement outliers (IMOs). In …

Variance-constrained recursive state estimation for time-varying complex networks with quantized measurements and uncertain inner coupling

J Hu, Z Wang, GP Liu, H Zhang - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
In this paper, a new recursive state estimation problem is discussed for a class of discrete
time-varying stochastic complex networks with uncertain inner coupling and signal …

Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: The uncertain probabilities case

J Hu, J Li, Y Kao, D Chen - Applied Mathematics and Computation, 2022 - Elsevier
The saturated-constrained distributed filtering problem is discussed for a class of discrete
nonlinear systems with random access protocol (RAP) and missing measurements (MMs) …

Finite-Time H State Estimation for Two-Time-Scale Complex Networks Under Stochastic Communication Protocol

X Wan, Y Li, Y Li, M Wu - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
The issue of finite-time state estimation is studied for a class of discrete-time nonlinear two-
time-scale complex networks (TTSCNs) whose measurement outputs are transmitted to a …

New optimal method for L2-L∞ state estimation of delayed neural networks

W Qian, Y Li, Y Zhao, Y Chen - Neurocomputing, 2020 - Elsevier
This proposal considers the issue of L 2-L∞ state estimation for delayed neural networks. A
novel Lyapunov-Krasovskii functional is constructed, which contains augmented s …