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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/398 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/398 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/398 archive 351 disk0/00/00/03/93 2016-01-15 01:42:22 2021-08-27 17:07:59 2016-01-15 01:42:22 monograph show 2 Tsuji K. AL0388 Lefkowitz I. AL0917 pub iis_mnt prog_mmt The cost-performance tradeoff problem associated with a multilayer control system for controlling a class of static, nonlinear, multivariable systems is considered. The multilayer control system has a number of layers of control functions each of which updates different subsets of the manipulated variables at different costs. A favorable cost-performance tradeoff is achieved by determining at each control decision time which subset of the control variables is to be updated. In this paper, we present a mathematical model which describes the operation of the multilayer control system. Also we show that the problem of determining a decision rule (policy) which results in an optimal cost-performance tradeoff can be formulated as a problem in Markovian Decision Processes. Consequently, an optimal policy can be identified by solving a linear program. In order to reduce the computational effort required for identifying the optimal policy, a class of parameterized policies is introduced based on a measure of deviation of the disturbance. This approach provides a designer with a practical method of determining a control policy which achieves a favorable cost-performance tradeoff. An example is given for demonstrating a possible application to process control. 1975 published WP-75-035 WP-75-035 10 2458 2106 public working_paper IIASA, Laxenburg, Austria 32 FALSE info:eu-repo/semantics/book