摘要：AbstractThe models of chemical and biological processes are typically composed of unknown and known parts. This paper recalls a multivariable control strategy that deals explicitly with the existence of incomplete models. The suggested strategy uses estimation of the unknown rates in the model and feedback linearization to achieve good closed-loop performance with simple tuning of design parameters and without the need of a complete model. The main contribution of this paper is the development of methods for quantitative analysis of the local stability and performance of the control strategy in the continuous-time case, based on a system description using transfer functions. The approach is illustrated via a simulated example of reactor control.
