Numerical Analysis on the Oscillator of External Stimulation and Self-Excited

In this article, the performance of the novel external stimulation oscillator and the optimized self- excited oscillator has been investigated by CFD numerical simulation. The efficiency and stimulation mechanism of the two kinds of oscillators were analyzed in numeric form. The cycle proportion of wall-attached jet switching time was calculated separately at different operating frequency. Additionally the reason for the difference of two oscillators was analyzed and explained.

中华民族共同体意识网络传播议题设置与机制建设

互联网技术的快速发展,虽然为新时代铸牢中华民族共同体意识提供了形式上的创新和传播的便利,但也带来了许多新的挑战和安全风险,这些挑战既有来自议题方面的,也有来自网络信息传播方面的。在网络中铸牢中华民族共同体意识,主要有两个方面的任务:一是用正确的中华民族知识和理论话语引领舆论,防范相关影响人们形成正确中华民族共同体意识的有害信息传播;二是建设铸牢中华民族共同体意识的网络信息传播机制,守住意识形态阵地。互联网信息传播的体制机制、法律规范和风险治理,对于在网络中形成正确的中华民族共同体话语氛围、引领人们铸牢中华民族共同体意识至关重要。

Edge-cloud Computing Systems for Smart Grid: State-of-the-art, Architecture, and Applications

The quantity and heterogeneity of intelligent energy generation and consumption terminals in the smart grid are increasing drastically over the years.These edge devices have created significant pressures on cloud computing(CC)system and centralised control for data storage and processing in realtime operation and control.The integration of edge computing(EC)can effectively alleviate the pressure and conduct real-time processing while ensuring data security.This paper conducts an extensive review of the EC-CC computing system and its application to the smart grid,which will integrate a vast number of dispersed devices.It first comprehensively describes the relationship among CC,fog computing(FC),and EC to provide a theoretical basis for the differentiation.It then introduces the architecture of the EC-CC computing system in the smart grid,where the architecture consists of both hardware structure and software platforms,and key technologies are introduced to support functionalities.Thereafter,the application to the smart grid is discussed across the whole supply chain,including energy generation,transportation(transmission and distribution networks),and consumption.Finally,future research opportunities and challenges of EC-CC while being applied to the smart grid are outlined.This paper can inform future research and industrial exploitations of these new technologies to enable a highly efficient smart grid under decarbonisation,digitalisation,and decentralisation transitions.

Copper（I）-Catalyzed Intramolecular N-N Coupling of Cyclopropyl O-Acyl Ketoximes： Synthesis of Spiro-fused Pyrazolin-5-ones

一条方便催化铜的途径经由 intramolecular NN 契约形成反应从容易地可得到的 cyclopropyl O 酰 ketoximes 为代替的熔化 spiro 的 pyrazolin-5-ones 的合成被开发了。这些催化反应在优秀收益继续一个宽广范围。

Output formation tracking for networked systems with limited energy and aperiodic silence

For leader-following networked systems with the topology switching and the aperiodic silence,limited-energy output formation tracking problems are investigated.Firstly,a new output formation tracking control protocol is proposed,which contains two components associated with the communication interactions between the leader and tracking intelligent agents and the communication interactions among tracking intelligent agents,respectively,and the aperiodic silence,the topology switching and the energy constraint index is introduced properly.Then,a two-step transformation method is presented to separate the whole dynamics of a networked system into the relative dynamics between the leader and tracking intelligent agents and the dynamics of the leader,and sufficient conditions for limited-energy output formation tracking for networked systems with limited energy and aperiodic silence are presented,which are extended into networked systems without the aperiodic silence.Especially,a partition checking algorithm is presented to check limitedenergy output formation tracking design criteria.Finally,a numerical example is illustrated to demonstrate the validness of theoretical results.

Formation control for networked multiagent systems with a minimum energy constraint

Minimum-energy formation achievement problems for networked multiagent systems are investigated,where information networks with leaderless and leader-follower structures are respectively addressed and information networks are randomly switching.The critical feature of this work is that the energy constraint is minimum in the sense of the linear matrix inequality,but limited-budget control and guaranteed-cost control cannot realize a minimum-energy formation.Firstly,the leaderless minimum-energy formation control problem is converted into an asymp-totic stability one via a nonsingular transformation and state space decomposition,and based on linear matrix inequality techniques,sufficient conditions for analysis and design of leaderless minimum-energy formation achievement are proposed,respectively,which can be solved by the generalized eigenvalue method.Then,main results of minimum-energy formation achievement of leaderless networked multiagent systems are extended leader-follower networked multiagent systems,where the asymmetric property of the leader-follower information network is well dealt with by two nonsingular transformations.Finally,two simulation examples are shown to verify the main results for minimum-energy formation achievements of leaderless and leader-follower networked multiagent systems,respectively.

Formulation of Locational Marginal Electricity-carbon Price in Power Systems

Decarbonisation of power systems is essential for realising carbon neutrality,in which the economic cost caused by carbon needs to be qualified.Based on the formulation of locational marginal price(LMP),this paper proposes a locational marginal electricity-carbon price(EC-LMP)model to reveal carbon-related costs caused by power consumers.A carbon-priceintegrated optimal power flow(C-OPF)is then developed to maximise economic efficiency of the power system considering the costs of electricity and carbon.Case studies are presented to demonstrate the new formulation and results demonstrate the efficacy of the EC-LMP-based C-OPF on decarbonisation and economy.

A novel adaptive lateral reentry guidance algorithm with complex distributed no-fly zones constraints

Aimed at complex distributed no-fly zones avoidance problems,a novel adaptive lateral reentry guidance algorithm is proposed.Firstly,by introducing the improved attractive and repulsive potential fields,an improved artificial potential field method is developed.Combined with the proposed judgment criterion for whether a no-fly zone has been avoided,the proposed improved artificial potential field method effectively solves the reference heading angle determination problem under the constraints of complex distributed no-fly zones.Then,based on the proposed no-fly zone’s threat quantitative evaluation method and the reference heading angle determined by the proposed improved artificial potential field method,the heading corridor is improved to increase its sensitivity to the threat changes of the no-fly zones.Finally,for satisfying the requirements of complex distributed no-fly zones avoidance,a novel guidance logic via improved heading corridor is proposed to update the reference heading corridor adaptively in real time according to the threat and constraint changes of the no-fly zones,and the bank reversal logic is employed to control the lateral motion.The simulation results for nominal and dispersed cases indicate that the proposed guidance algorithm has high robustness,stability,and applicability,and is feasible and effective to deal with the complex distributed no-fly zones avoidance problems.