NONLINEAR STRUCTURE IDENTIFICATION OF CHEMICAL PROCESSES

In this paper a deterministic suitability measure is introduced that q uantifies the capability of a particular model class to capture the co ntrol relevant I/O-behavior of a nonlinear system. This suitability me asure can be used for the purpose of model structure selection prior t o the actual parameter identification. Important properties of this su itability measure are discussed and an attractive approach for its num erical computation based on convex optimization is outlined. The suita bility measure is exemplary used to select an appropriate model struct ure for a simple continuous stirred tank reactor.