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Accession Number:
AD0607913
Title:
MULTI-LEVEL APPROACH TO DYNAMIC OPTIMIZATION,
Descriptive Note:
Corporate Author:
CASE INST OF TECH CLEVELAND OHIO SYSTEMS RESEARCH CENTER
Report Date:
1964-05-01
Pagination or Media Count:
161.0
Abstract:
In this report multi-level systems theory was applied to linear dynamic optimization problems. The two main reasons for using multi-level approach to optimization problems are a this method eases the difficulty of computation of large scale optimization problems b this method may make control systems insensitive to disturbances. In this report reason a above was considered in detail. The technique used is as follows. A large scale control system is divided into smaller subsystems by the decomposition technique neglecting the interactions among the sybsystems. The higher level goalseeking units compensate for the neglected interactions through successive approximation. The convergence condition of the successive approximation was treated. Author
Distribution Statement:
APPROVED FOR PUBLIC RELEASE