Low cost DSP‐based educational embedded platform for real‐time simulation and fast implementation of complex systems in Simulink

Delgado, Emmanuel Dávila; Panduro, Juan José Raygoza; Álvarez, Edwin Christian Becerra; Jurado, Francisco Javier Espinoza; Frías, Eric Francisco Gutiérrez

doi:10.1002/cae.22136

Cited by 2 publications

(1 citation statement)

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“…Some practical guidelines and concepts for robotic system prototyping and simulation can be found in [73][74][75][76][77][78][79]. As desired by the stakeholders and appropriate for the system under design, some well-developed (including some open-source) tools are available for completing the system prototyping and simulation tasks without the need for additional tool or process development [80][81][82][83][84][85][86][87] .…”

Section: Prototyping and Simulationsmentioning

confidence: 99%

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

2019

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This concept paper outlines a conceptual framework for the design and development of user-integrated semi-autonomous lawn mowing systems. This is approached from a systems engineering perspective, considering both hardware and software elements and integration with the user. This is an important and emerging field of study within the several engineering communities, including robotics, agricultural engineering, smart city development, and general systems engineering. In several sections of this paper, a review of current progress on this problem is presented (both in general and related to specific aspects of the system), followed by a discussion of the problem from a systems engineering perspective, a general system architecture developed by the authors, a preliminary set of design requirements, and a discussion of some practical implementation strategies. This work is meant to provide a baseline and motivation for the further development and refinement of these systems within the agricultural engineering and robotics communities and is relevant to both academic and commercial research.

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Section: Prototyping and Simulationsmentioning

confidence: 99%

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

2019

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An FRTDS Real-Time Simulation Optimized Task Scheduling Algorithm Based on Reinforcement Learning

2020

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This paper presents a deep reinforcement learning (DRL)-based task scheduling algorithm that is applied to an FPGA-based real-time digital simulation (FRTDS) system to generate arrangements to minimize the makespan of a task sequence with limited resources. The algorithm has two parts, which are synthetic cost construction and DRL processing to make arrangements. The synthetic cost represents the cost of different selections of arrangements in both resource usage and blockage arranging probability. This study uses the cost to measure the state-action value function to process the deep Q network (DQN) procedure to generate an optimized scheduling strategy. We establish the reinforcement learning strategy generation process by instantiating the computing components in the hardware as agents, and RAM resources and communication I/O ports as environment. A hardware-design-based decision rule is constructed to ensure that the computing variables are distributed as evenly as possible in storage, while making full use of the pipeline characteristics of FPGA. A compiler is written to generate an FRTDS binary stream to drive FRTDS. Accuracy and performance of the proposed method are verified and evaluated. We present simulation results of the modeling method, as well as from a classic method. Comparing these results, the makespan obtained by the proposed method is significantly shorter. It corresponds to the possibility of having higher computing power and dealing with larger-scale real-time simulation.

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Low cost DSP‐based educational embedded platform for real‐time simulation and fast implementation of complex systems in Simulink

Cited by 2 publications

References 28 publications

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

Development of User-Integrated Semi-Autonomous Lawn Mowing Systems: A Systems Engineering Perspective and Proposed Architecture

An FRTDS Real-Time Simulation Optimized Task Scheduling Algorithm Based on Reinforcement Learning

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