Invention Grant
- Patent Title: Model-free adaptive (MFA) optimization
- Patent Title (中): 无模型自适应(MFA)优化
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Application No.: US10969485Application Date: 2004-10-19
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Publication No.: US07415446B2Publication Date: 2008-08-19
- Inventor: George Shu-Xing Cheng , Steven L. Mulkey
- Applicant: George Shu-Xing Cheng , Steven L. Mulkey
- Applicant Address: US CA Rancho Cordova
- Assignee: General Cybernation Group, Inc.
- Current Assignee: General Cybernation Group, Inc.
- Current Assignee Address: US CA Rancho Cordova
- Agency: DLA Piper US LLP
- Agent Peter R. Leal, Esq.
- Main IPC: G06N5/00
- IPC: G06N5/00

Abstract:
An apparatus and method is disclosed for solving optimization problems without the need to build mathematical models or rules. The inventive method combines the structure of a single-loop feedback control system and optimization search engine mechanisms. Running in real-time, a Model-Free Adaptive (MFA) optimizer can automatically search for the optimal operating point for a dynamic system when a parabolic relationship exists between the input and output. The MFA optimizer comprises a user-selected Min/Max setter to define the searching objective, a process acting-mode search engine to determine if the process is running in direct-acting or reverse-acting mode, a maximum search engine and a minimum search engine to find the maximum or minimum. This apparatus and method is useful in fuel-and-air ratio optimization for combustion processes, yield optimization for chemical or biological reactors, and operating efficiency optimization for coal or ore ball mills.
Public/Granted literature
- US20050086202A1 Model-free adaptive (MFA) optimization Public/Granted day:2005-04-21
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |