A survey on recent advances in distributed filtering over sensor networks subject to communication constraints
The sensor network (SN) has long been an ongoing research topic with many successful
applications in a wide range of fields. Lying in the core part of this paper is the distributed …
applications in a wide range of fields. Lying in the core part of this paper is the distributed …
[HTML][HTML] An overview of filtering for sampled-data systems under communication constraints
The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …
the digital signal shows great advantages in data transmission, storage and exchange. As a …
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve
In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …
Recursive filtering of networked nonlinear systems: A survey
Recursive filtering for nonlinear systems, one of the core technologies of modern industrial
systems, is an ever-increasing research topic from the control and computer communities …
systems, is an ever-increasing research topic from the control and computer communities …
Consensus control of multi-agent systems using fault-estimation-in-the-loop: Dynamic event-triggered case
The paper develops a novel framework of consensus control with fault-estimation-in-the-
loop for multi-agent systems (MASs) in the presence of faults. A dynamic event-triggered …
loop for multi-agent systems (MASs) in the presence of faults. A dynamic event-triggered …
Communication-protocol-based analysis and synthesis of networked systems: Progress, prospects and challenges
In recent years, the communication-protocol-based synthesis and analysis issues have
gained substantial research interest owing mainly to their significance in networked systems …
gained substantial research interest owing mainly to their significance in networked systems …
Non-fragile l2-l∞ state estimation for time-delayed artificial neural networks: an adaptive event-triggered approach
In this paper, the state estimation problem is investigated for a kind of time-delayed artificial
neural networks subject to gain perturbations under the adaptive event-triggering scheme …
neural networks subject to gain perturbations under the adaptive event-triggering scheme …
Optimized distributed filtering for saturated systems with amplify-and-forward relays over sensor networks: a dynamic event-triggered approach
In this article, the optimized distributed filtering problem is studied for a class of saturated
systems with amplify-and-forward (AF) relays via a dynamic event-triggered mechanism …
systems with amplify-and-forward (AF) relays via a dynamic event-triggered mechanism …
Outlier-resistant recursive security filtering for multirate networked systems under fading measurements and round-robin protocol
J Liu, E Gong, L Zha, X **e… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates the recursive filtering problem with fading measurements and
cyberattacks for multisensor multirate networked systems (MRNSs) the under the round …
cyberattacks for multisensor multirate networked systems (MRNSs) the under the round …
A new key performance indicator oriented industrial process monitoring and operating performance assessment method based on improved Hessian locally linear …
H Zhang, C Zhang, J Dong, K Peng - International Journal of …, 2022 - Taylor & Francis
The industrial process monitoring and operating performance assessment techniques are of
great significance to ensure the safety and efficiency of the production and to improve the …
great significance to ensure the safety and efficiency of the production and to improve the …