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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12202 条记录，以下是671-680 订阅

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SplitRPC: A {control + Data} Path Splitting RPC Stack for ML Inference Serving 23

SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML...

引用

2023 ACM SIGMETRICS international conference on Measurement and modeling of Computer systems, SIGMETRICS 2023

作者： Kumar, Adithya Sivasubramaniam, Anand Zhu, Timothy The Pennsylvania State University University ParkPA United States Penn State University University ParkPA United States

ISBN: (纸本)9798400700743

The growing adoption of hardware accelerators driven by their intelligent compiler and runtime system counterparts has democratized ML services and precipitously reduced their execution times. This motivates us to shift our attention to characterize the overheads imposed by the RPC mechanism ('RPC tax') when serving them on accelerators. Conventional RPC implementations implicitly assume the host CPU services the requests, and we focus on expanding such works towards accelerator-based services. While SmartNIC based solutions work well for simple applications, serving complex ML models requires a more nuanced view to optimize both the data-path and the control/orchestration of these accelerators. We program commodity network interface cards (NICs) to split the control and data paths for effective transfer of control while efficiently transferring the payload to the accelerator. As opposed to unified approaches that bundle these paths together, limiting the flexibility in each of these paths, we design and implement SplitRPC - a {control + data} path optimizing RPC mechanism for ML inference serving. SplitRPC allows us to optimize the datapath to the accelerator while simultaneously allowing the CPU to maintain full orchestration capabilities. We implement SplitRPC on both commodity NICs and SmartNICs and demonstrate that SplitRPC is effective in minimizing the RPC tax while providing significant gains in throughput and latency. © 2023 Owner/Author.

关键词： orchestration smartnic ml inference remote procedure call data path

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Multi-Agent Economic modeling Automation Technologies 9

Multi-Agent Economic Modeling Automation Technologies

引用

9th international conference on control, Decision and Information Technologies, CoDIT 2023

作者： Zhukova, Aleksandra A. Pilnik, Nikolai P. Kamenev, Ivan G. Iusup-Akhunov, Batyrzhan B. Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Mathematical Modelling in Economic Social and Ecological Systems Vavilov st. 44 building 2 Moscow119333 Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Mathematical Modelling of Economic Systems Vavilov st. 44 building 2 Moscow119333 Russia Hse University Faculty of Economic Sciences Department of Applied Economics Pokrovsky Bulvar 11 Moscow109028 Russia Fsbeihe Bauman Moscow State Technical University Department of Fundamental Sciences-11 2nd Baumanskaya street 5-1 Moscow05005 Russia The Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology 9 Institutskiy per. Moscow Region Dolgoprudny141701 Russia

ISBN: (纸本)9798350311402

complex economic models often describe the agent's decisions, i.e. choice of some controlled variables in accordance with criteria set by agents. Unlike purely statistical ones, agent-based models allow to describe processes with different modes, in which the agent's behavior changes quali-tatively when the environment (including the actions of other agents) change. The practical use of mathematical models of complex systems with a number of interacting agents is limited by complexity of their construction and possible errors when dealing with multitude of expressions. Computer tools, such as the 'Ecomod' system discussed in the article, can substantially reduce the time spent on model creation and processing, and help to coordinate the work of several researchers on the model. © 2023 IEEE.

关键词： Autonomous agents

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Study of Topologies, Power Converters, and control Techniques for the Dynamic Voltage Restorer (DVR)

Study of Topologies, Power Converters, and Control Technique...

引用

2023 international conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Aldi, Poornima Shrigiri, Shilpa Smita, K. Sharnbasva University Dept Electrical and Electronics Engineering Kalaburgi India Fetw Sharnbasva University Dept of Electronics and Communication Engineering Kalaburgi India Sharnbasva University Dept Eee Kalaburgi India

ISBN: (纸本)9798350315455

Power quality is an urgent issue and is of the highest priority, especially for complex and technologically advanced devices, whose efficiency is dependent on the quality of the supply. Concerns about power quality issues that damaged or malfunction sensitive loads. Sensitive loads, such as ups and power electronics devices etc., malfunction due to outages and disruptions, resulting in large financial losses Fact's devices are suggested for boosting power quality, with DVR regarded as the finest and most affordable option. DVR is facts device for reducing and resolving voltage related fluctuations. This manuscript presents into great detail on and survey the DVR is based on Topologies, Power Converters, and control Techniques. The survey states the research in t a reasonable analysis of P.Q problems, the DVR principle and working methods, the DVR parts the DVR structures based on DC link voltage, the DVR is based on 3-f VSI, and control parts with various phases of control processing. Also included are the DVR's improved and modified configurations. This manuscript is a complete and useful resource for those who want to learn more about DVRs. © 2023 IEEE.

关键词： 3-f power converters control schemes DVR DVR configurations Power quality Voltage Sag/Swell

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modeling and trajectory tracking by robust control of a hexacopter with a 3-D OF manipulator arm 2

Modeling and trajectory tracking by robust control of a hexa...

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2nd international conference on Advanced Electrical Engineering, ICAEE 2022

作者： Housseyn, Zamoum Yasser, Bouzid Mohamed, Guiatni Guidance and Navigation Laboratory Ecole Militaire Polytechnique Algeria Control of Complex Systems and Simulators Laboratory Ecole Militaire Polytechnique Algeria

ISBN: (数字)9781665417419

ISBN: (纸本)9781665417419

This paper presents the modeling and control of an aerial manipulation system that consists of two subsystems: an aerial platform represented by a hexacopter (DJI F550) and a lightweight three-degree-of-freedom (3-DOF) manipulator arm that can be easily integrated into our hexacopter. We also propose a new approach to modeling aerial manipulation systems based on the dynamics of floating base systems with tree structures, such as those studied in bio-inspired soft robotics and space robotics. This system presents many challenges, such as asymmetry, continuously changing inertia, and the center of gravity. These challenges pose a significant control problem in the trajectory tracking of an aerial manipulation robot. For this reason, a robust control technique based on the sliding mode controller is proposed to achieve a high accuracy 3D trajectory tracking objective. Finally, numerical simulations were conducted to demonstrate the efficacy of the suggested technique. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Multi-Agent Path Planning and Trajectory Generation for Confined Environments

Multi-Agent Path Planning and Trajectory Generation for Conf...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Beyoglu, Hikmet Weiss, Stephan Rinner, Bernhard Univ Klagenfurt Klagenfurt Austria Inst Networked & Embedded Syst Klagenfurt Austria Control Networked Syst Grp Klagenfurt Austria

ISBN: (数字)9781665405935

ISBN: (纸本)9781665405935

Planning the collision-free, simultaneous movement of multiple agents is a fundamental problem in multi-robot systems and becomes particularly challenging in highly confined environments. This paper addresses this problem by first searching for collision-free paths in a discretized environment and then optimizing the agents' dynamically feasible trajectories along the discrete paths with respect to energy and time. Our approach extends the available movement options at each planning step of the enhanced conflict-based search and results in shorter path lengths, faster planning times, and reduced number of waiting events for agents at waypoints. We compare our new approach with the original algorithm in a simulation study and investigate the performance in confined spaces.

关键词： Costs Simulation Computational modeling Approximation algorithms Search problems Trajectory Planning

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Design and implementation of UAV obstacle avoidance based on STM32 3

Design and implementation of UAV obstacle avoidance based on...

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3rd international conference on Mechatronics and Mechanical Engineering, ICMME 2024

作者： Hu, Xusheng Liu, Juan Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma’anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781510681651

With the development of remote control and telemetry technology, the application of UAV is more and more extensive, and the requirement of UAV flight control is higher and higher. In order to enhance the stability of UAV hardware system, the power supply part is protected in various ways;a spare chip is added to ensure the effectiveness of attitude calculation;SPI peripheral interface is reserved to expand GPS, ultrasonic and other sensors. Through the mathematical model, the calibration method of accelerometer and gyroscope is introduced, and the importance of this step for flight control system is emphasized. The software flow chart of the system is designed, and the mathematical model of obstacle avoidance algorithm is given. The classic PID control algorithm and simulation method are used to realize the obstacle avoidance of UAV. Considering the problems that may be encountered in UAV obstacle avoidance, the mathematical model is established, the evaluation index is given, and the control experiment is designed. Experimental results show that the algorithm has good obstacle avoidance effect and strong robustness in low speed and complex environment. © 2024 SPIE.

关键词： Three term control systems

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Fast and Accurate LSTM Meta-modeling of TNF-induced Tumor Resistance In Vitro

Fast and Accurate LSTM Meta-modeling of TNF-induced Tumor Re...

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2024 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Abrate, Marco P. Smeriglio, Riccardo Bardini, Roberta Savino, Alessandro Di Carlo, Stefanoi University College London Dept. of Cell and Developmental Biology London United Kingdom Politecnico di Torino Dept. of Control and Computer Engineering Turin Italy

ISBN: (纸本)9798350386226

Multi-level, hybrid models and simulations, among other methods, are essential to enable predictions and hypothesis generation in systems biology research. However, the computational complexity of these models poses a bottleneck, limiting the applicability of methodologies relying on large number of simulations, such as the Optimization via Simulation (OvS) of complex biological processes. Meta-models based on approximate surrogate models simplify multi-level simulations, maintaining accuracy while reducing computational costs. Among Artificial Neural Networks (ANNs), Long Short-Term Memory (LSTM) networks are well suited to handle sequential data, which often characterizes biological simulations. This paper presents an LSTM-based surrogate modeling approach for multi-level simulations of complex biological processes. Validation relies on the simulation of Tumor Necrosis Factor (TNF) administration to a 3T3 mouse fibroblasts tumor spheroid based on PhysiBoSS 2.0, a hybrid agent-based multi-level modeling framework. Results show that the proposed LSTM meta-model is accurate and fast compared with the simulator. In fact, it infers simulated behavior with an average relative error of 7.5%. Moreover, it is at least five orders of magnitude faster. Even considering the cost of training, this approach provides a faster, more accurate, and reusable surrogate of multi-scale simulations in computationally complex tasks, such as model-based OvS of biological processes. © 2024 IEEE.

关键词： Tumors

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A Three-Stage Numerical Approach to the Study of Extra-Large Atomic-Molecular Clusters 15th

A Three-Stage Numerical Approach to the Study of Extra-La...

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15th international conference on Optimization and Applications, OPTIMA 2024

作者： Gornov, Alexander Anikin, Anton Sorokovikov, Pavel Zarodnyuk, Tatiana Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov Str. 134 Irkutsk664033 Russia

ISBN: (纸本)9783031791185

The article discusses a novel approach for optimizing atomic-molecular structures in extra-large clusters, focusing on reducing computational complexity and applying parallel computing techniques. A three-stage computation process is outlined, offering benefits over traditional algorithms by efficiently navigating through multi-extremal optimization challenges. The software, based on this methodology, demonstrated high efficacy in solving complex molecular dynamics problems. When comparing the outcomes with experimental data, no significant deviations from the expected patterns in potential values were detected. The developed three-stage numerical approach proved instrumental in solving optimization tasks for extra-large atomic-molecular systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Molecular dynamics

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An Universal Dynamic Model Predictive control Framework for Quadruped Robot Locomotion

An Universal Dynamic Model Predictive Control Framework for ...

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2023 IEEE international conference on Robotics and Biomimetics, ROBIO 2023

作者： Huang, Zehua Huang, Ran Beijing University of Chemical Technology College of Information Science & Technology Beijing100029 China

ISBN: (纸本)9798350325706

Quadruped Robots require the capability to traverse complex and demanding surroundings found in natural landscapes, urban areas, and industrial facilities. However, achieving efficient and flexible control of these systems remains an ongoing challenge. In this paper, we present a novel Universal Dynamic Model Predictive control (UDMPC) Framework designed specifically for quadruped robot locomotion, aiming to address the controller design problems caused by the diversity of quadruped robots and the complexity of terrains. Even within intricate terrains, this framework guarantees accurate tracing of reference velocity commands, augmenting locomotion prowess. The MPC controller's parameters are dynamically fine-tuned through reinforcement learning, enhancing control reliability. Our proposed approach was subjected to rigorous testing and evaluation using the Go1 quadruped robot model within a simulation environment. The findings showcased its exceptional dynamic adaptability, surpassing fixed-parameter controllers. Notably, this work considerably enhances command tracking precision and stability. © 2023 IEEE.

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Cooperative Adaptive Identification and Force control for Networked Euler-Lagrange systems 4

Cooperative Adaptive Identification and Force Control for Ne...

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4th international conference on Data-Driven Optimization of complex systems, DOCS 2022

作者： Lv, Xiaoxu Hao, Yuqing Xu, Tao Duan, Zhisheng Peking University Department of Mechanics and Engineering Science Beijing China Beihang University Department of Dynamics and Control Beijing China

ISBN: (数字)9781665459822

ISBN: (纸本)9781665459822

This paper investigates the cooperative adaptive environment identification and the force control problems for heterogeneous Euler-Lagrange systems. A distributed adaptive control law is designed to identify the external environment, and the parameter convergence and the parameter consensus are achieved. The cooperative control law is easier to satisfy the persistently exciting condition. Using the containment control approach, a distributed control law is proposed to guarantee that the trajectory error and the parameter errors are uniformly ultimately bounded. The effectiveness of the proposed adaptive control laws is demonstrated by some simulation examples. © 2022 IEEE.

关键词： Multi agent systems

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