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Xinping Zhang,Huade Guan,Xinzhu Zhang,Wanjun Zhang,Tianci Yao 한국기상학회 2016 Asia-Pacific Journal of Atmospheric Sciences Vol.52 No.3
The isotope enabled atmospheric water balance model is applied to examine the spatial and temporal variations of δ18O in precipitation, amount effect and meteoric water lines (MWL) under four scenarios with different fractionation nature and surface evaporation inputs. The experiments are conducted under the same weather forcing in the framework of the water balance and stable water isotope balance. Globally, the spatial patterns of mean δ18O and global MWLs simulated by four simulation tests are in reasonably good agreement with the Global Network of Isotopes in Precipitation observations. The results indicate that the assumptions of equilibrium fractionation for simulating spatial distribution in mean annual δ18O and the global MWL, and kinetic fractionation in simulating δ18O seasonality are acceptable. In Changsha, four simulation tests all reproduce the observed seasonal variations of δ18O in precipitation. Compared with equilibrium fractionation, the depleted degree of stable isotopes in precipitation is enhanced under kinetic fractionation, in company with a decrease of isotopic seasonality and inter-event variability. The alteration of stable isotopes in precipitation caused by the seasonal variation of stable isotopes in vapour evaporated from the surface is opposite between cold and warm seasons. Four simulations all produce the amount effect commonly observed in monsoon areas. Under kinetic fractionation, the slope of simulated amount effect is closer to the observed one than other scenarios. The MWL for warm and humid climate in monsoon areas are well simulated too. The slopes and intercepts of the simulated MWLs decrease under kinetic fractionation.
Finite-time Consensus of Networked Euler-Lagrange Systems via STA-based Output Feedback
Yanyan Fan,Zhenlin Jin,Baosu Guo,Xiaoyuan Luo,Xinping Guan 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.9
The consensus problem based on full state feedback has been extensively studied, but rarely for leaderless distributed finite-time consensus of networked Euler-Lagrange systems based on output-feedback. In this work, the finite-time consensus problem of networked Euler-Lagrange systems subject to unknown velocity is studied. A finite-time consensus protocol is first proposed based on the relative positions and velocities. Then, the more challenging situation of networked Euler-Lagrange systems subject to unmeasurable velocity is considered. A model-independent observer based on the super-twisting algorithm (STA) is developed for velocity error estimation, based upon which a finite-time output feedback control protocol is developed for consensus of the networked EulerLagrange systems. Stability analysis shows that the networked Euler-Lagrange systems can achieve consensus in finite time. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed control algorithms.