不完全KB自组织的量子算法。第二部分:基于远程知识库交换的机器人控制

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2021-09-28 DOI:10.30564/aia.v3i2.3849
A. Reshetnikov, S. Ulyanov
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引用次数: 0

摘要

应用“软/量子计算优化器”工具箱软件开发了智能模糊控制器的知识库远程设计技术。考虑了远程连接到控制对象的知识库传输和通信的可能性。模糊控制器知识库的传输与通信采用蓝牙或WiFi技术,通过与控制对象的在线远程连接实现。知识库的远程传输允许设计许多不同的内置智能控制器来实现不确定性和风险条件下的各种控制策略。作为例子,描述了两种不同的机器人模型(移动机械手和倒立摆)。比较了模糊控制器和量子模糊控制器在不同控制模式下的控制质量。连接和使用控制对象的物理模型而不使用比数学模型演示的能力。基于量子控制器的智能机器人群知识库设计共享实现技术。它利用知识组合的协同效应,通过创建新的量子隐藏信息源,实现控制的目的,并获得额外的知识。讨论了超大科学项目NICA(超导磁体冷却系统第一阶段)智能量子控制系统的智能鲁棒控制器原型的开发与实现。实验结果表明,在量子智能控制系统中,利用软/量子计算技术设计智能模糊控制器知识库,可以保证一组机器人控制目标的实现。开发的软件工具包允许在线设计和设置复杂的不明确和弱形式化的技术系统。
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Quantum Algorithm of Imperfect KB Self-organization. Pt II: Robotic Control with Remote Knowledge Base Exchange
The technology of knowledge base remote design of the smart fuzzy controllers with the application of the "Soft / quantum computing optimizer" toolkit software developed. The possibility of the transmission and communication the knowledge base using remote connection to the control object considered. Transmission and communication of the fuzzy controller’s knowledge bases implemented through the remote connection with the control object in the online mode apply the Bluetooth or WiFi technologies. Remote transmission of knowledge bases allows designing many different built-in intelligent controllers to implement a variety of control strategies under conditions of uncertainty and risk. As examples, two different models of robots described (mobile manipulator and (“cart-pole” system) inverted pendulum). A comparison of the control quality between fuzzy controllers and quantum fuzzy controller in various control modes is presented. The ability to connect and work with a physical model of control object without using than mathematical model demonstrated. The implemented technology of knowledge base design sharing in a swarm of intelligent robots with quantum controllers. It allows to achieve the goal of control and to gain additional knowledge by creating a new quantum hidden information source based on the synergetic effect of combining knowledge. Development and implementation of intelligent robust controller’s prototype for the intelligent quantum control system of mega-science project NICA (at the first stage for the cooling system of superconducted magnets) is discussed. The results of the experiments demonstrate the possibility of the ensured achievement of the control goal of a group of robots using soft / quantum computing technologies in the design of knowledge bases of smart fuzzy controllers in quantum intelligent control systems. The developed software toolkit allows to design and setup complex ill-defined and weakly formalized technical systems on line.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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