Cooperative flight at low altitude is a key ability for swarm attacking weapon systems to perform tasks in complex environments successfully. This paper reviews the technologies of trajectory planning and swarms contr...
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In the aircraft management system, the universality of aircraft target detection neural network model compression has been verified for many engineering application conditions such as full-range intelligent maneuverin...
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Existing path planning and coordination control methods for multi-robot systems(MRS) typically rely on predefined rules and rudimentary algorithms. However, these methods often struggle to adapt flexibly to complex en...
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Existing path planning and coordination control methods for multi-robot systems(MRS) typically rely on predefined rules and rudimentary algorithms. However, these methods often struggle to adapt flexibly to complex environments and to adjust motion targets appropriately. To address this challenge, this study presents a large language model(LLM)-assisted framework. By integrating textual descriptions of complex motion constraints, robot information, and local environmental data as inputs, LLMs generate motion objectives and translate them into executable control commands for the robots, thereby achieving coordinated control and path planning. This framework facilitates the generation, maintenance, and reshaping of formations in MRSs during path planning, applicable to both obstacle-free and obstacle-avoidance environments. Simulation results demonstrate that LLM-based control strategies enhance the autonomy, adaptability, flexibility, and robustness of MRS by processing complex information, making intelligent decisions, adapting to environmental changes, and handling disturbances and uncertainties.
With the development of image recognition technology and computer technology, artificial intelligence is more and more applied in people's production and life. In addition, the Internet of Things technology can be...
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The paper analyzes and compares the phase margins of four active disturbance rejection control(ADRC)designs,which are based on different common-used extended state observers(ESOs)of various orders,for second-order ***...
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The paper analyzes and compares the phase margins of four active disturbance rejection control(ADRC)designs,which are based on different common-used extended state observers(ESOs)of various orders,for second-order *** quantitative results indicate that,besides good dynamic response,ADRC can guarantee enough phase *** is also proved that by decreasing the order of ESO,the phase margin can be ***,it is demonstrated that the phase margins of the ADRC-based systems can be almost uninfluenced by the uncertainties of the system ***,the theoretical results are verified by both simulations and experiments on a motion control platform.
This study addresses the problem of guaranteed cost fault-tolerant fuzzy control for multiline re-entrant manufacturing systems (RMSs) against stochastic disturbances and workstation faults. Initially, a nonlinear hyp...
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This article proposes a sector model early warning method based on ELM theory, with the background of big data processing cluster technology. A fault early warning model is established using naive Bayesian algorithm c...
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Using convolutional neural network technology for model compression, the convolutional layer operation speed is improved through multiple row-column parallel computing units in the convolution operation acceleration m...
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The advent of Industry 4.0 has underscored the critical role of cross-source data fusion in industrial automation. The effective integration of diverse data sources offers enhanced accuracy and stability, aiding decis...
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The cooperative localization of radio-based distance measurement is one of the methods to effectively suppress the nonline of sight (NLOS) ranging errors and as a complement to visual/global navigation satellite syste...
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