Title :
Memory-based Control of Nonlinear Dynamic Systems Part I - Design and Analysis
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina A&T State Univ., Greensboro, NC
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
Keywords :
control system synthesis; nonlinear dynamical systems; control experience; learning control methods; memory space; memory-based control; nonlinear dynamic systems; short-term memory concepts; system response; Control design; Control nonlinearities; Control systems; History; Nonlinear control systems; Nonlinear systems; Robust control; Signal generators; Signal processing; System performance; Short-term memory; control; information set; learning ability; nonlinear systems; robustness and adaptation;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257070