Title :
Incremental best estimate directed search - a case study for symmetrical systems
Author :
Song, Feijun ; Smith, Samuel M.
Author_Institution :
Ocean Eng. Dept., Dania, FL, USA
Abstract :
This paper studies the performance of an incremental best-estimate-directed search (IBEDS) for symmetrical systems. IBEDS is a bootstrappable search algorithm designed for controller optimization. The idea is to make the training set and the rule base symmetric. By doing so, the the searching of IBEDS is expedited. The presented simulation results justify the method
Keywords :
computer bootstrapping; learning systems; optimal control; search problems; software performance evaluation; symmetry; bootstrappable search algorithm; case study; controller optimization; incremental best-estimate-directed search; performance; simulation; symmetric rule base; symmetric training set; symmetrical systems; Algorithm design and analysis; Automatic control; Computational modeling; Computer aided software engineering; Control systems; Design methodology; Fuzzy logic; Modems; Robust control; Sliding mode control;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944702
