Dielectric barrier discharges(DBD)are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications,such as material processing,surface treatment,light sources,pollution control,an...
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Dielectric barrier discharges(DBD)are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications,such as material processing,surface treatment,light sources,pollution control,and *** the course of several decades,extensive research has been dedicated to the generation of homogeneous DBD(H‐DBD),focussing on understanding the transition from H‐DBD to filamentary DBD and exploring strategies to create and sustain H‐*** paper first discusses the in-fluence of various parameters on DBD,including gas flow,dielectric material,surface conductivity,and mesh ***,a chronological literature review is presented,highlighting the development of H‐DBD and the associated understanding of its un-derlying *** encompasses the generation of H‐DBD in helium,nitrogen,and ***,the paper provides a brief overview of multiple‐current‐pulse(MCP)behaviours in H‐*** objective of this article is to provide a chronological un-derstanding of homogeneous dielectric barrier discharge(DBD).This understanding will aid in the design of new experiments aimed at better comprehending the mechanisms behind H‐DBD generation and ultimately assist in achieving large‐volume H‐DBD in an air environment.
Addressing issues such as low efficiency in semi-automated production changes, difficulty in guaranteeing product quality, and heavy reliance on manpower in the current 3C assembly industry, this paper proposes a new ...
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The ability to manipulate light propagation sets the foundations for optical communication and information processing systems. With the ever-growing data capacity and data rate, photonic integrated circuits have attra...
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This paper focuses on the distributed cooperative learning(DCL)problem for a class of discrete-time strict-feedback multi-agent systems under directed *** with the previous DCL works based on undirected graphs,two mai...
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This paper focuses on the distributed cooperative learning(DCL)problem for a class of discrete-time strict-feedback multi-agent systems under directed *** with the previous DCL works based on undirected graphs,two main challenges lie in that the Laplacian matrix of directed graphs is nonsymmetric,and the derived weight error systems exist n-step *** novel lemmas are developed in this paper to show the exponential convergence for two kinds of linear time-varying(LTV)systems with different phenomena including the nonsymmetric Laplacian matrix and time ***,an adaptive neural network(NN)control scheme is proposed by establishing a directed communication graph along with n-step delays weight updating ***,by using two novel lemmas on the extended exponential convergence of LTV systems,estimated NN weights of all agents are verified to exponentially converge to small neighbourhoods of their common optimal values if directed communication graphs are strongly connected and *** stored NN weights are reused to structure learning controllers for the improved control performance of similar control tasks by the“mod”function and proper time series.A simulation comparison is shown to demonstrate the validity of the proposed DCL method.
To improve quadrupedal robots' movement diversity and capacity to learn a wide range of behavioral skills, a quadrupedal robot behavior generation method based on 3D animation software and imitation learning is pr...
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With the development of railway construction in China,the computing demand of the train control system is increasing day by *** application of cloud computing technology on the rail transit signal system has become a ...
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With the development of railway construction in China,the computing demand of the train control system is increasing day by *** application of cloud computing technology on the rail transit signal system has become a research hotspot in recent *** to improve the safety and availability of the safety computer platform in the cloud computing environment is the key problem when applying cloud computing to the train operation control *** the cloud platform is in an open network environment,fac-ing many security vulnerabilities and malicious network attacks,it is necessary to monitor the operation of computer programmes through edge safety ***,this paper encrypts the logical monitoring method,and then proposes a secure computer de fence model based on the dynamic heterogeneous redundancy *** the continuous time Markov chain(CTMC)is used to quantitatively solve the stable probability of the system,and the influence of different logical monitoring methods on the anti-attack performance of the system is ***,the experiment proves that the dynamic heterogeneous redundancy structure composed of encryption logic monitoring can guarantee the safe and stable operation of the safety computer more effectively.
作者：
Du, KaixinMeng, MinTongji University
Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China Tongji University
College of Electronics and Information Engineering Department of Control Science and Engineering Shanghai201804 China
This paper deals with the distributed optimization problem while respecting coupled affine equality constraints. Resorting to the augmented Lagrangian function, a novel distributed augmented primal-dual algorithm is d...
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One of the key challenges in developing autonomous vehicles is planning safe and efficient trajectories in complex environments, such as intersections. This paper proposes an offline RL approach for planning trajector...
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To address the multi-physical field modeling and simulation of microactuators, this paper takes a dual hot-arm actuator made of polysilicon as the research object and develops a coupled thermal-structural interaction ...
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Supply and demand for interdisciplinary research is closely integrated into the market structure of the economic system and responds to the factors that determine its functioning. From the standpoint of the formation ...
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