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Xue Li,Xueer Chen,Yikang Yang,Lipo Mo 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2
This paper studies consensus problems of high-order heterogeneous continuous-time networks with bounded communication delays and dynamically changing digraphs. The heterogeneous continuous-time networks consist of different order agents from first-order to lth-order agents, where different order networks correspond to different linear consensus protocols. In order to use the properties of Metzler matrix with zero row sums, we make model transformations of system matrix. Giving some restrictive conditions, we obtain the sufficient condition for consensus problems of heterogeneous networks with varying bounded communication delays. Although each communication graph may have no spanning trees, all agents of high-order heterogeneous networks can reach stationary consensus with varying bounded communication delays and dynamically changing digraphs. Finally, we give an example to validate the correctness of our obtained results.
Grey Wolf Optimization based Active Disturbance Rejection Control Parameter Tuning for Ship Course
Jia Ren,Zengqiang Chen,Yikang Yang,Mingwei Sun,Qinglin Sun,Zenghui Wang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3
It is important to control the ship course in complicated ocean environment. In this paper, a Grey Wolf Optimization (GWO) based Active Disturbance Rejection Control (ADRC) tuning method is proposed in the application of the ship course. Here, GWO is used to tune the parameters of ADRC. To validate the performance of the proposed method, some simulations have been carried out and the results are compared with the results of other tuning methods, such as, Harris Hawks Optimization (HHO), Particle Swarm Optimization (PSO), Q-learning and manual tuning. To test the stability of different tuning methods, the cases of no disturbance, constant value disturbance, second-order wave force disturbance, white noise disturbance and mixed disturbance are considered. The robustness of the system for parameters perturbation is analyzed. The research indicates that the GWO based ADRC can achieve better performance than other methods.
Guan Feng,Ding Youming,He Yikang,Li Lu,Yang Xinyu,Wang Changhua,Hu Mingbai 대한약리학회 2022 The Korean Journal of Physiology & Pharmacology Vol.26 No.6
It has been demonstrated that APPL1 (adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 1) is involved in the regulation of several growth-related signaling pathways and thus closely associated with the development and progression of some cancers. Diallyl trisulfide (DAT), a garlic-derived bioactive compound, exerts selective cytotoxicity to various human cancer cells through interfering with pro-survival signaling pathways. However, whether and how DAT affects survival of human hepatocellular carcinoma (HCC) cells remain unclear. Herein, we tested the hypothesis of the involvement of APPL1 in DAT-induced cytotoxicity in HCC HepG2 cells. We found that Lys 63 (K63)-linked polyubiquitination of APPL1 was significantly decreased whereas phosphorylation of APPL1 at serine residues remained unchanged in DAT-treated HepG2 cells. Compared with wild-type APPL1, overexpression of APPL1 K63R mutant dramatically increased cell apoptosis and mitigated cell survival, along with a reduction of phosphorylation of STAT3, Akt, and Erk1/2. In addition, DAT administration markedly reduced protein levels of intracellular TNF receptor-associated factor 6 (TRAF6). Genetic inhibition of TRAF6 decreased K63-linked polyubiquitination of APPL1. Moreover, the cytotoxicity impacts of DAT on HepG2 cells were greatly attenuated by overexpression of wild-type APPL1. Taken together, these results suggest that APPL1 polyubiquitination probably mediates the inhibitory effects of DAT on survival of HepG2 cells by modulating STAT3, Akt, and Erk1/2 pathways.