COMPUTER-AIDED IDENTIFICATION AND MULTIVARIABLE CONTROL SYSTEM DESIGN USING CONVOLUTION ALGEBRA.

An integrated computer-aided identification and design procedure suitable for use at the supervisory level of a computer control scheme is described. The interpretive porogramming language is based on module theory and convolution algebra and provides a conceptual framework for unifying simulation and multivariable control theory. An example is given to illustrate the language. Following data collection and identification, a decoupled control scheme subject to control signal saturation is designed and compared to a conventional three-term control scheme. The paper demonstrates how easily the procedure may be used to apply modern control concepts to practical problems.