Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: A survey
G Bao, L Ma, X Yi - Systems Science & Control Engineering, 2022 - Taylor & Francis
In this paper, the cooperative control of heterogeneous multi-agent systems (HMASs)
subject to certain constraints are surveyed. First, HMASs are classified into two categories …
subject to certain constraints are surveyed. First, HMASs are classified into two categories …
Multi-sensor filtering fusion meets censored measurements under a constrained network environment: Advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
Switching-like event-triggered state estimation for reaction–diffusion neural networks against DoS attacks
X Song, N Wu, S Song, V Stojanovic - Neural Processing Letters, 2023 - Springer
In this paper, event-triggered state estimation for reaction–diffusion neural networks
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …
Fault detection of networked dynamical systems: A survey of trends and techniques
Fault detection of networked dynamical systems (NDSs) has attracted ever-increasing
attention since it can maintain high-quality products as well as operational safety …
attention since it can maintain high-quality products as well as operational safety …
Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks
This article proposes a memory-based eventtriggering H∞ load frequency control (LFC)
method for power systems through a bandwidth-constrained open network. To overcome the …
method for power systems through a bandwidth-constrained open network. To overcome the …
Neural‐network‐based control for discrete‐time nonlinear systems with denial‐of‐service attack: The adaptive event‐triggered case
This article investigates a neural network (NN)‐based control problem for unknown discrete‐
time nonlinear systems with a denial‐of‐service (DoS) attack and an adaptive event …
time nonlinear systems with a denial‐of‐service (DoS) attack and an adaptive event …
A survey on fault-tolerant consensus control of multi-agent systems: trends, methodologies and prospects
The consensus control problem of multi-agent systems (MASs) has received an increasing
research interest with ever-developing consensus theory. Before it can be widely applied to …
research interest with ever-developing consensus theory. Before it can be widely applied to …
A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective
Lateral flow immunoassay (LFIA), as a well-known point-of-care testing (POCT) technique, is
of vital significance in a variety of application scenarios due to the advantages of …
of vital significance in a variety of application scenarios due to the advantages of …
Probabilistic-constrained distributed fusion filtering for a class of time-varying systems over sensor networks: A torus-event-triggering mechanism
F Qu, X Zhao, X Wang, E Tian - International Journal of Systems …, 2022 - Taylor & Francis
This paper investigates the problem of distributed fusion over sensor networks with
probabilistic constraints and stochastic perturbations. In order to save the bandwidth …
probabilistic constraints and stochastic perturbations. In order to save the bandwidth …
Resilient control of networked control systems under deception attacks: a memory‐event‐triggered communication scheme
This paper considers resilient event‐triggered control problem for a class of networked
systems subject to randomly occurring deception attacks. First, a new memory event …
systems subject to randomly occurring deception attacks. First, a new memory event …