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1. 发明授权

US06577906B1 Distributed optimization system and method 有权
标题翻译：分布式优化系统和方法
公开(公告)号：US06577906B1
公开(公告)日：2003-06-10
申请号：US09635019
申请日：2000-08-04
申请人： John E. Hurtado , Clark R. Dohrmann , Rush D. Robinett, III
发明人： John E. Hurtado , Clark R. Dohrmann , Rush D. Robinett, III
IPC分类号： G05B1918
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33066 , G05B2219/33068 , Y02P90/08 , Y02P90/20
摘要： A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.
摘要翻译：一种搜索系统和方法，用于使用分布式感测和协作控制来控制多个代理以优化目标。搜索代理可以是一个或多个物理代理，例如机器人，并且可以是用于搜索网络空间的软件代理。目标可以是：化学来源，温度源，辐射源，光源，逃避者，侵入者，爆炸源，时间依赖源，时间独立源，功能表面，最大化点，最小化点和系统的最佳控制，如通信系统，经济，起重机和多处理器计算机。

2. 发明授权

US5963447A Multiple-agent hybrid control architecture for intelligent real-time control of distributed nonlinear processes 失效
标题翻译：多代理混合控制架构，用于分布式非线性过程的智能实时控制
公开(公告)号：US5963447A
公开(公告)日：1999-10-05
申请号：US916418
申请日：1997-08-22
申请人： Wolf Kohn , Anil Nerode
发明人： Wolf Kohn , Anil Nerode
IPC分类号： G06F15/16 , G05B13/02 , G05B19/418 , G06F9/44 , G06F9/46 , G06N5/04
CPC分类号： G05B19/41865 , G06N5/043 , G05B2219/33055 , G05B2219/33065 , G05B2219/33073 , Y02P90/18 , Y02P90/20
摘要： A Multiple-Agent Hybrid Control Architecture (MAHCA) uses agents to analyze design, and implement intelligent control of distributed processes. A network of agents can be configured to control more complex distributed processes. The network of agents interact to create an emergent global behavior. Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of individual agent behaviors. Agent synchronization can be achieved by satisfaction of an interagent invariance principle. At each update time, the active plan of each of the agents in the network encodes equivalent behavior modulo a congruence relation determined by the knowledge clauses in each agents's knowledge base. The Control Loop and the Reactive Learning Loop of each agent can be implemented separately. This separation results in an implementation runs faster and with less memory requirements than an unseparated arrangement. A Direct Memory Map (DMM) is to implement the agent architecture. The DMM is a procedure for transforming knowledge and acts as a compiler of agent knowledge by providing a data structure called memory patches, which are used to organize the knowledge contained in each agent's Knowledge Base. Content addressable memory is used as the basic mechanism of the memory patch structure. Content addressable memory uses a specialized register called the comparand to store a pattern that is compared with contents of the memory cells. The DMM has two comparands, the Present State Comparand and the Goal Comparand. The MAHCA can be used for compression/decompression for processing and storage of audio or video data.
摘要翻译：多代理混合控制架构（MAHCA）使用代理分析设计，实现分布式进程的智能控制。代理网络可以配置为控制更复杂的分布式进程。代理网络互动，创造出一种紧急的全球行为。全球行为是从个人代理行为中出现的，并且通过对个人代理行为的网络施加全局约束而实现没有中央控制。代理同步可以通过满足代理不变性原则来实现。在每个更新时间，网络中每个代理的活动计划编码由每个代理的知识库中的知识子句确定的等同关系模式的等效行为。每个代理的控制循环和反应学习循环可以单独实现。这种分离导致实现运行速度更快，并且具有比未分离安排更少的内存要求。直接内存映射（DMM）是实现代理架构。 DMM是通过提供称为内存补丁的数据结构来转换知识并作为代理知识的编译器的过程，用于组织每个代理的知识库中包含的知识。内容可寻址内存被用作内存补丁结构的基本机制。内容可寻址存储器使用称为比较的专用寄存器来存储与存储器单元的内容进行比较的模式。 DMM有两个比较，即现状比较和目标比较。 MAHCA可用于压缩/解压缩以处理和存储音频或视频数据。

3. 发明申请

US20140012787A1 SYSTEM AND METHOD FOR INFORMATION PROCESSING AND MOTOR CONTROL 审中-公开
标题翻译：用于信息处理和电机控制的系统和方法
公开(公告)号：US20140012787A1
公开(公告)日：2014-01-09
申请号：US14018419
申请日：2013-09-05
申请人： Qin Zhang
发明人： Qin Zhang
IPC分类号： G06N5/02 , G06N99/00
CPC分类号： G06N5/02 , B25J9/1602 , G05B2219/33002 , G05B2219/33065 , G05B2219/39292 , G06N20/00 , Y10S901/46 , Y10S901/50
摘要： The present invention relates to a system and method for information process and motor control using artificially constructed apparatus. More specially, the present invention provides a system and method that can process nature language and other informational input including visual, audio and other sensory inputs and respond intelligently.
摘要翻译：本发明涉及一种使用人工构造的设备进行信息处理和电机控制的系统和方法。更具体地，本发明提供一种可以处理自然语言和其他信息输入的系统和方法，包括视觉，音频和其他感官输入并智能地响应。

4. 发明授权

US06826431B2 Distributed optimization system 有权
标题翻译：分布式优化系统
公开(公告)号：US06826431B2
公开(公告)日：2004-11-30
申请号：US10392542
申请日：2003-03-19
申请人： John E. Hurtado , Clark R. Dohrmann , Rush D. Robinett, III
发明人： John E. Hurtado , Clark R. Dohrmann , Rush D. Robinett, III
IPC分类号： G06F1900
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33066 , G05B2219/33068 , Y02P90/08 , Y02P90/20
摘要： A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.
摘要翻译：一种搜索系统和方法，用于使用分布式感测和协作控制来控制多个代理以优化目标。搜索代理可以是一个或多个物理代理，例如机器人，并且可以是用于搜索网络空间的软件代理。目标可以是：化学来源，温度源，辐射源，光源，逃避者，侵入者，爆炸源，时间依赖源，时间独立源，功能表面，最大化点，最小化点和系统的最佳控制，如通信系统，经济，起重机和多处理器计算机。

5. 发明申请

US20030163207A1 Distributed optimization system 有权
标题翻译：分布式优化系统
公开(公告)号：US20030163207A1
公开(公告)日：2003-08-28
申请号：US10392542
申请日：2003-03-19
发明人： John E. Hurtado , Clark R. Dohrmann , Rush D. Robinett III
IPC分类号： G05B019/18
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33066 , G05B2219/33068 , Y02P90/08 , Y02P90/20
摘要： A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.
摘要翻译：一种搜索系统和方法，用于使用分布式感测和协作控制来控制多个代理以优化目标。搜索代理可以是一个或多个物理代理，例如机器人，并且可以是用于搜索网络空间的软件代理。目标可以是：化学来源，温度源，辐射源，光源，逃避者，侵入者，爆炸源，时间依赖源，时间独立源，功能表面，最大化点，最小化点和系统的最佳控制，如通信系统，经济，起重机和多处理器计算机。

6. 发明公开

EP1044383A4 MULTIPLE-AGENT HYBRID CONTROL ARCHITECTURE FOR INTELLIGENT REAL-TIME CONTROL OF DISTRIBUTED NONLINEAR PROCESSES 审中-公开
标题翻译：随着对分布式非线性过程的智能实时控制多种药物混合控制体系结构
公开(公告)号：EP1044383A4
公开(公告)日：2007-10-17
申请号：EP98942087
申请日：1998-08-18
申请人： HYNOMICS CORP
发明人： KOHN WOLF , NERODE ANIL
IPC分类号： G06F15/16 , G05B13/02 , G05B19/418 , G06F9/44 , G06F9/46 , G06N5/04 , G01V1/00
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33073 , G06N5/043 , Y02P90/18 , Y02P90/20
摘要： A Multiple-Agent Hybrid Control Architecture (MAHCA) (20) uses agents to analyze design, and implement intelligent control of distributed process. A network of agents can be configured to control more complex distributed processes. The network of agents interact to create an emergent global behavior. Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of an interagent invariance principle. At each update time, the active plan of each of the agents in the network encodes equivalent behavior modulo a congruence relation determined by the knowledge clauses in each agent's knowledge base (28). The Control Loop (236) and the Reactive Learning Loop of each agent can be implemented separately. The MAHCA can be used for compression/decompression for processing and storage of audio or video data.

7. 发明公开

EP1044383A1 MULTIPLE-AGENT HYBRID CONTROL ARCHITECTURE FOR INTELLIGENT REAL-TIME CONTROL OF DISTRIBUTED NONLINEAR PROCESSES 审中-公开
标题翻译：随着对分布式非线性过程的智能实时控制多种药物混合控制体系结构
公开(公告)号：EP1044383A1
公开(公告)日：2000-10-18
申请号：EP98942087.2
申请日：1998-08-18
申请人： Hynomics Corporation
发明人： KOHN, Wolf , NERODE, Anil
IPC分类号： G01V1/00
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33073 , G06N5/043 , Y02P90/18 , Y02P90/20
摘要： A Multiple-Agent Hybrid Control Architecture (MAHCA) (20) uses agents to analyze design, and implement intelligent control of distributed process. A network of agents can be configured to control more complex distributed processes. The network of agents interact to create an emergent global behavior. Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of an interagent invariance principle. At each update time, the active plan of each of the agents in the network encodes equivalent behavior modulo a congruence relation determined by the knowledge clauses in each agent's knowledge base (28). The Control Loop (236) and the Reactive Learning Loop of each agent can be implemented separately. The MAHCA can be used for compression/decompression for processing and storage of audio or video data.

8. 发明申请

WO99010758A1 MULTIPLE-AGENT HYBRID CONTROL ARCHITECTURE FOR INTELLIGENT REAL-TIME CONTROL OF DISTRIBUTED NONLINEAR PROCESSES 审中-公开
标题翻译：用于智能实时控制分布式非线性过程的多代理混合控制架构
公开(公告)号：WO99010758A1
公开(公告)日：1999-03-04
申请号：PCT/US1998/017056
申请日：1998-08-18
IPC分类号： G06F15/16 , G05B13/02 , G05B19/418 , G06F9/44 , G06F9/46 , G06N5/04 , G01V1/00
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33073 , G06N5/043 , Y02P90/18 , Y02P90/20
摘要： A Multiple-Agent Hybrid Control Architecture (MAHCA) (20) uses agents to analyze design, and implement intelligent control of distributed process. A network of agents can be configured to control more complex distributed processes. The network of agents interact to create an emergent global behavior. Global behavior is emergent from individual agent behaviors and is achieved without central control through the imposition of global constraints on the network of an interagent invariance principle. At each update time, the active plan of each of the agents in the network encodes equivalent behavior modulo a congruence relation determined by the knowledge clauses in each agent's knowledge base (28). The Control Loop (236) and the Reactive Learning Loop of each agent can be implemented separately. The MAHCA can be used for compression/decompression for processing and storage of audio or video data.
摘要翻译：多代理混合控制架构（MAHCA）（20）使用代理分析设计，实现分布式过程的智能控制。代理网络可以配置为控制更复杂的分布式进程。代理网络互动，创造出一种紧急的全球行为。全球行为是从个人代理行为中出现的，并且通过对网络中的全局约束对代理不变原则进行中央控制而实现。在每个更新时间，网络中每个代理的活动计划编码由每个代理的知识库（28）中的知识子句确定的等同关系模式的等效行为。每个代理的控制回路（236）和反应学习循环可以单独实现。 MAHCA可用于压缩/解压缩以处理和存储音频或视频数据。

9. 发明专利

JP3628961B2 Multiple agent hybrid control architecture for intelligent real-time control of the distributed non-linear process 有权
公开(公告)号：JP3628961B2
公开(公告)日：2005-03-16
申请号：JP2000508020
申请日：1998-08-18
申请人：ヒノミクス・コーポレーション
发明人：コーン、ウルフ , ネロデ、アニル
IPC分类号： G06F15/16 , G05B13/02 , G05B19/418 , G06F9/44 , G06F9/46 , G06N5/04
CPC分类号： G05B19/41865 , G05B2219/33055 , G05B2219/33065 , G05B2219/33073 , G06N5/043 , Y02P90/18 , Y02P90/20

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