Controlling Water Reservoirs Using a Hybrid Intelligent Architecture

Measured inputs in control domains are often continuous. A discretization function is needed to map continuous inputs into multiple intervals or ranges of input values, so that they can be used as symbolic inputs to a rule-based system. The discretiza-tion parameters used to determine each interval play a critical role in the overall eeectiveness of a rule-based system. We propose a Hybrid Intelligent Architecture (HIA) that exploits the complementary features of expert systems and connectionist architectures to revise the initial domain knowledge and enhance its input characterization. A successful application of the proposed concepts to control the water reservoirs of Colorado river near Austin, is described.