Model-based reinforcement learning has achieved substantial progress in recent years. However, it still faces challenges when applied in multi-agent systems. These challenges in multi-agent environments include the cu...
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The article considers architectural and circuit solutions that can be applied in processor cores synthesized in programmable logic integrated circuits (FPGA) with FPGA and APSOC architecture to solve problems of hardw...
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ISBN:
(数字)9798331532178
ISBN:
(纸本)9798331532185
The article considers architectural and circuit solutions that can be applied in processor cores synthesized in programmable logic integrated circuits (FPGA) with FPGA and APSOC architecture to solve problems of hardware accelerator control. The granular structure of the matrix of logic cells in FPGA determines the specific requirements for circuit solutions that are optimal for implementation on this hardware platform. In addition, the possibility of implementing computing accelerators based on FPGA hardware resources makes it preferable to use processor cores as control subsystems of the computing complex, which also clarifies the requirements for processor cores that could be used in FPGA-based systems. A number of design techniques typical for high-performance processor cores implemented as part of VLSI seem to be suboptimal for FPGA. The article proposes to consider simple pipelines in combination with specialized instruction sets for control processors, as well as tight integration of peripheral devices.
modeling Command and control (C2) problems is notoriously complex across operating environments, systems, and missions. We seek to systematically decompose the complexities of C2, and present the foundational problems...
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ISBN:
(纸本)9781510651036;9781510651029
modeling Command and control (C2) problems is notoriously complex across operating environments, systems, and missions. We seek to systematically decompose the complexities of C2, and present the foundational problems in a form that is accessible to the larger research community. Our first objective is to "flatten" core C2 problems by formulating and developing a surrogate environment that can foster new insights and evaluation. Using this framework, the second objective is to host a public challenge to acquire a diversity of solutions from outside the DoD community.
Water loss happens in all water distribution systems (WDSs). To deal with such the problems, pressure management strategy should be applied to lessen the water leakage flow. The optimal pressure management is formulat...
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The work is devoted to the study of stray fields of cable lines to ensure electromagnetic compatibility, with different connection of screens. The influence of the electromagnetic field (EMF) on the flow of currents i...
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This paper aims at the problems of unclear scheduling model and low intelligence in the scheduling technology of bulk cargo terminals, analyzes the business process and characteristics of bulk cargo terminals based on...
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Traffic flow management at signalized intersections is one of the most important problems in transportation systems. In this study, a cooperative control method of traffic signals and vehicle trajectories at an inters...
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Human-machine collaborative decision-making and control can give play to the advantages of human intelligence and artificial intelligence and flexibly cope with battlefield changes in complex, dynamic environments. A ...
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ISBN:
(数字)9781665403870
ISBN:
(纸本)9781665403870
Human-machine collaborative decision-making and control can give play to the advantages of human intelligence and artificial intelligence and flexibly cope with battlefield changes in complex, dynamic environments. A theoretical framework for human-machine mixed-initiative control is investigated to address the problems of the unclear human-machine collaborative process, imperfect theory, and lack of models to drive and manage operational activities. According to the corresponding relationship between the place, the transition, and each node of the control process, a human-machine mixed-initiative control model is established using the Petri net. For the problems of difficult command and control and inefficient resource scheduling in implementing actions, a regional reconnaissance and strike Petri net model is designed and established by combining the observe-orient-decide-act(OODA) loop *** performance indicators are calculated and analyzed in platform independent Petri net editor(PIPE). The results show that the human-machine mixedinitiative control model can organize and manage operational activities effectively.
Due to their superior energy efficiency, blimps may replace quadcopters for long-duration aerial tasks. However, designing a controller for blimps to handle complex dynamics, modeling errors, and disturbances remains ...
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The development and control of an integrated autonomous robotic manipulation process requires a focus on the convergence of technologies such as soft computing, object detection, robotic arm engineering, and direct an...
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