Advances in bioimaging methods and hardware facilities have revolutionised the determination of numerous biological structures at atomic or near-atomic resolution. Among these developments, electron ptychography has r...
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In process monitoring, some specific performance indexes need to be paid attention to. Therefore, the performance-triggered process monitoring scheme is proposed. Different from the traditional process monitoring meth...
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Multiunit non-Gaussian dynamic processes are more popular, and monitoring of such processes becomes important. A dynamic canonical correlation analysis (DCCA)-based distributed monitoring approach for multiunit non-Ga...
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In this paper, we investigate the distributed link removal strategy for networked meta-population epidemics. In particular, a deterministic networked susceptible-infected-recovered (SIR) model is considered to describ...
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In recent years, smart process manufacturing has attracted increasing attention from both academia and industry around the world. Together with academia and industry, various governments have released their strategic ...
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In recent years, smart process manufacturing has attracted increasing attention from both academia and industry around the world. Together with academia and industry, various governments have released their strategic plans for smart manufacturing, which has the key aim of realizing the upgrading and transformation of the process industry by means of knowledge-integrated planning, scheduling, and process optimization based on industrial internet of things. However, in order to achieve intelligent, autonomous,and regulated control in process manufacturing systems, the industry must confront many problems—including multi-scale coupling, human–cyber–physical interaction, and multi-objective optimization with strong constraints—from the varying perspectives of intelligent perception, autonomous control, and smart decision-making.
The oxygen reduction reaction (ORR) is a promising application, but the structure-activity relationship between defect and photocatalytic 2e− ORR remains largely obscure. In this work, metal-organic frameworks (MOFs) ...
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Microgrid is an advanced application of distributed renewable energy utilization. With the development of energy Internet technology, microgrid is characterized by strong decentralization and high intelligence. The op...
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ISBN:
(数字)9781728176871
ISBN:
(纸本)9781728176888
Microgrid is an advanced application of distributed renewable energy utilization. With the development of energy Internet technology, microgrid is characterized by strong decentralization and high intelligence. The operation optimization of microgrid requires higher individual autonomy and rational ability, and the traditional centralized optimization is difficult to meet this development trend. In this paper, in order to better reflect the high autonomy of microgrid energy management, a distributed optimization based on potential game is proposed by comprehensively considering multiple independent individuals in the microgrid. Under this strategy, each individual makes decisions with the goal of maximizing their own profits, and completes the iterative solution of the strategy through communication with each other. Finally, a simulation example of islanded microgrid is used to verify the results, which shows that the individual autonomy and intelligence of the microgrid were improved, and the feasibility and effectiveness of the strategy are verified.
Converting CO 2 to fuel is a promising strategy to mitigate the greenhouse effect and achieve ‘carbon neutrality’. Photothermal catalysis has been widely used for CO 2 reduction because it effectively reduces the ap...
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Converting CO 2 to fuel is a promising strategy to mitigate the greenhouse effect and achieve ‘carbon neutrality’. Photothermal catalysis has been widely used for CO 2 reduction because it effectively reduces the apparent activation energy of the reaction and provides milder catalytic conditions as well as higher catalytic efficiency than conventional catalytic methods. In this review, the basic principles of photothermal catalytic CO 2 reduction and the factors used to evaluate photothermal catalytic conversion efficiency are introduced. Then, the common types of Ni-based catalysts and their design strategies are summarized and discussed. Among these catalysts, metal oxides have been extensively studied and developed. Accordingly, they currently achieve product yields up to the mmol/(g·h) level. Strategies such as elemental doping and morphology control are often adopted for the modification of photothermal catalysts as a means to improve catalytic performance. Finally, future trends in the field of photothermal catalytic CO 2 reduction are proposed, including mechanistic studies, practical applications, and coupling with other carbon-neutral technologies.
This paper studies semi-global output consensus problem for multi-agent systems. The dynamics of each follower agent is described by a linear system subject to both actuator saturation and external disturbances. The d...
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This paper studies semi-global output consensus problem for multi-agent systems. The dynamics of each follower agent is described by a linear system subject to both actuator saturation and external disturbances. The dynamics of leader agent is also described by a linear system which generate both the tracking signal and disturbance as the exosystem does in output regulation problem for individual system. Solvability conditions are established based on the agent dynamics and the communication topology. For the follower agents, low-and-high gain based linear state feedback control laws are constructed such that all the outputs of agents achieve output consensus when the communication topology among the follower agents is a connected undirected graph, and the leader is a neighbor of at least one follower. Simulation results are given to illustrate the theoretical results.
This paper studies the design of adaptive event-triggered protocols for consensus of linear multi-agent systems (MASs) with external disturbances. Different from most of the existing results that deal with undirected ...
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ISBN:
(数字)9781728177090
ISBN:
(纸本)9781728177106
This paper studies the design of adaptive event-triggered protocols for consensus of linear multi-agent systems (MASs) with external disturbances. Different from most of the existing results that deal with undirected graphs, this paper addresses directed graphs, specifically graphs that are assumed to be strongly connected. Inspired by a recent development [1], this paper devises novel adaptive event-triggered protocols for linear MASs with all agents subject to external disturbances. Two specific designs of composite triggering conditions are analysed and discussed. Compared with the disturbance-free case, additional constraints need to be introduced to deal with external disturbances and moreover the time-dependent terms are allowed to take any finite functions, rather than a class of L1 functions.
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