Abstract
This paper presents a control design method based on short-term memory concepts. The main idea is to make use of certain memorized information such as current system response, previous system response and past control experience to build control action. Fundamentally, the desired control signal in the scheme is "learned" and generated from observing and processing the most recent experience stored in a memory. System performance can be continuously improved during system operation without requiring detail system dynamics. There is no need to repeatedly run the system with the same task. Another advantage of this approach is that the overall required memory space does not grow with time and is much smaller than most existing learning control methods. The first part of the paper addresses the detail design and analysis of the proposed method. The second part of the paper presents the application results of the method to numerous examples/systems. © 2006 IEEE.
| Original language | English |
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| Title of host publication | 2006 1st IEEE Conference on Industrial Electronics and Applications |
| Publisher | IEEE |
| ISBN (Print) | 0780395131 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
| Externally published | Yes |
| Event | 2006 1ST IEEE Conference on Industrial Electronics and Applications - , Singapore Duration: 24 Mar 2006 → 26 Mar 2006 |
Conference
| Conference | 2006 1ST IEEE Conference on Industrial Electronics and Applications |
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| Country/Territory | Singapore |
| Period | 24/03/06 → 26/03/06 |
Keywords
- Control
- Information set
- Learning ability
- Nonlinear systems
- Robustness and adaptation
- Short-term memory