Aperiodic Sampled-data Control for Exponential Synchronization of Chaotic Delayed Neural Networks with Exponentially Decaying Gain

Jikai Wang,Xia Huang,Zhen Wang,Jianwei Xia,Hao Shen 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11

This paper studies the exponential synchronization of chaotic delayed neural networks (CDNNs) under aperiodic sampled-data control. First, an aperiodic sampled-data controller with exponentially decaying gain is designed to enlarge the maximum sampling period and the maximum allowable delay while still preserving the stability of the closed-loop system. Then, a novel time-dependent Lyapunov functional that consists of the information of the exponential decay rate η is elaborately designed to analyze the stability of the closed-loop system instead of using the common “change of coordinates” method. With the aid of Lyapunov theory and some inequality techniques, the sufficient conditions are established to guarantee the exponential synchronization of master-slave CDNNs. Based on matrix transformation, the equivalent conditions in LMI form are established to design the feedback gain. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed controller and the obtained synchronization criteria.

Description of the whole mitochondrial genome of Bhatia longiradiata (Hemiptera, Cicadellidae, Deltocephalinae: Drabescini) and phylogenetic relationship

Lu Jikai,Wang Jiajia,Li Defang,Wang Xianyi,Dai Renhuai 한국유전학회 2023 Genes & Genomics Vol.45 No.1

Background Mitochondrial genomes are extremely conserved in genetic processes and valuable molecular indications for phylogenetic and evolutionary examination, but the mitochondrial genome of Bhatia has not yet been reported. Objective The target of this writing was to clarify the structural module of the mitochondrial genes of Bhatia longiradiata, verify the monophyletic of Drabescini, and explore the phylogenetic relationship between Drabescini with other leafhoppers. Methods We performed sequencing and explanatory note of the mitochondrion of Bhatia longiradiata. The phylogeny relation was created by ML and Bayesian approaches using three dissimilar datasets (PCG12, PCG12rRNA, and AA), which were constructed to discuss the phylogenetic status of Bhatia longiradiata. Results To report the architectural feature of the chondriosome of Bhatia longiradiata is a seal double-stranded annular molecule with 16,122 bp measurement and cover typically 37 genes. Several tandem repetitive units were observed in an AT enrichment area. The analysis showed that the branching relationships among the six trees were generally consistent, and each of the subfamilies was individually clustered into a monophyletic group within Cicadellidae. Bhatia longiradiata and other members of the Drabescini were aggregated into a clade that was situated within the Deltocephalinae. Conclusion The mitochondrial genome of Bhatia longiradiata covers 37 typical genes and a control region, which covers six tandem repeats. All species of Drabescini procedure a clade within Deltocephalinae. Drabescini and Scaphoideini form a branch and show a sister relationship with strong support. Therefore, we support the relegation of Selenocephalinae to a clan within Deltocephalinae.

Deposition path-dependent lightweight support design and its implication to self-support topology optimization

Wang Yifan,Wu Tao,Liu Jikai,Yu Huangchao 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.6

This paper presents a lightweight support design method for material extrusion-type three-dimensional printed panel structures that innovatively involves the deposition path curvature information for support point determination. Specifically, this support design method provides a robust segmentation algorithm to divide the filament deposition paths into segments based on the curvature sign alternating condition, and then searches for the fewest support points for the filaments counting on the experimentally calibrated relationship between the maximum allowable self-support distance and the local mean curvature. The proposed method features in generating thin-walled skeleton-ray styled support structures that are lightweight while providing firm support for the panels. More importantly, the support design method provides a new type of self-support criterion for structural topology optimization involving non-designable planar panels, i.e., only a sparse point set would be sufficient to support the panel. Consequently, more materials could be spent on enhancing the load-bearing capacity instead of being wasted on oversupporting. The achievable structural performances from self-support topology optimization with this new self-support criterion can improve significantly. Support design and printing tests were conducted on a few panel structures that validated the improved support effect compared with equal-volume supports generated by commercial software. Equidistant and gap-free deposited filaments, no filament collapse due to insufficient support, and no isolated voids reflect the improved support effect. The improved self-support topological design was also validated through a comparative numerical case study, and a compliance reduction of 7.76% was achieved.

Adaptive Chaotic Gray Wolf Optimizer-Based Optimization of Decentralized AGC and Power Dispatching Controllers for Integrated Energy System with Heterogeneous Power Sources

Li Zhongwen,Bai Ningning,Cheng Zhiping,Wang Yi,Si Jikai 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.2

With the increasing use of renewable energy sources connected to inverters in modern power systems, traditional units’ rotary inertia and frequency regulation capacity are becoming inadequate. Therefore, exploring various types of frequency regulation resources is essential. However, these resources come with diferent system models, capacities, and response speeds, posing a signifcant challenge to automatic generation control (AGC). To address this issue and enhance the frequency regulation performance of these resources, a novel distributed coordination AGC method is proposed. The proposed method allows each frequency regulation unit to utilize a separate load frequency control (LFC) controller to participate in frequency regulation based on the area control error information calculated by the dispatching center. To ensure the coordination between the heterogeneous frequency regulation resources, an adaptive chaotic gray wolf algorithm is proposed to tune the parameters of the LFC controller. Furthermore, to release the fast frequency regulation ability of high-speed frequency regulation units and better prepare for the next round of frequency regulation service, an event-triggered power dispatching strategy is proposed. Simulation results of a single-area power system with fve diferent frequency regulation units demonstrate the superior performance of the proposed AGC method.

Correction: Adaptive Chaotic Gray Wolf Optimizer-Based Optimization of Decentralized AGC and Power Dispatching Controllers for Integrated Energy System with Heterogeneous Power Sources

Li Zhongwen,Bai Ningning,Cheng Zhiping,Wang Yi,Si Jikai 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3

.

Splenectomy improves liver fibrosis via tumor necrosis factor superfamily 14 (LIGHT) through the JNK/TGF-β1 signaling pathway

Liang Qing-shan,Xie Jian-Gang,Yu ChaoPing,Feng ZhuSheng,Ma JingChang,Zhang Yuan,Wang Dong,Lu JianGuo,Zhuang Ran,Yin Jikai 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

Splenectomy has been reported to improve liver fibrosis in patients with cirrhosis and hypersplenism. However, the mechanisms remain unclear. Tumor necrosis factor superfamily 14 (TNFSF14; also known as LIGHT) is highly expressed in the context of fibrosis and promotes disease progression in patients with fibrotic diseases such as pulmonary and skin fibrosis. Here, we determined whether splenectomy controls the production of LIGHT to improve liver fibrosis. Splenectomy reduced serum LIGHT levels in cirrhotic patients with hypersplenism and a ConA-induced liver fibrosis mouse model. Blocking LIGHT resulted in the downregulation of TGF-β1 in RAW264.7 cells. LIGHT treatment of RAW264.7 and JS1 cells in coculture regulated transforming growth factor-β1 (TGF-β1) expression through the activation of JNK signaling. Small interfering RNA-mediated silencing of lymphotoxin β receptor (LTβR) in macrophages resulted in pronounced decreases in the levels of fibrosis and αSMA in JS1 cells. These results indicated that LIGHT bound to LTβR and drove liver fibrosis in vitro. Blocking TGF-β1 abolished the effect of LIGHT in vitro. Furthermore, the administration of recombinant murine LIGHT protein-induced liver fibrosis with splenectomy, while blocking LIGHT without splenectomy improved liver fibrosis in vivo, revealing that the decrease in fibrosis following splenectomy was directly related to reduced levels of LIGHT. Thus, high levels of LIGHT derived from the spleen and hepatic macrophages activate JNK signaling and lead to increased TGF-β1 production in hepatic macrophages. Splenectomy attenuates liver fibrosis by decreasing the expression of LIGHT.