A Nonlinear Planner for Solving Sequential Control Problems in Manufacturing Systems

Authors:
Luis A. Castillo;Antonio González
Affiliations:
-;-
Venue:
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Year:
1998

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Abstract

The design of the sequential control program for a manufacturing system is a difficult task which is traditionally carried out by engineers. In this paper we present MACHINE, a nonlinear planner with an automata-based representation of operators, which is able to obtain control sequences for manufacturing systems. These control sequences are an abstract representation of a sequential control program which may be easily translated into real programs expressed as GRACFET charts or Petri nets.