Models and methods for on-line safety control of chemical processes. Part 1. Control under uncertainty conditions

An approach to the design of multi-level industrial safety control systems for chemical processes at all accident development is offered. The approach is based on risk analysis methodology and artificial intelligence techniques. The problem of optimal on-line industrial safety control of chemical processes under uncertainty conditions is defined and its solution technique based on neuron network models is proposed.