Temperature Control of Continuous Chemical Reactors Under Noisy Measurements and Model Uncertainties

Abstract

The aim of this paper is to present the synthesis of a robust control law for the control of a class of nonlinear systems

named Liouvillian. The control design is based on a sliding-mode uncertainty estimator developed under the

framework of algebraic-differential concepts. The estimation convergence is done by the Lyapunov-type analysis and

the closed-loop system stability is shown by means of the regulation error dynamics. Robustness of the proposed

control scheme is tested in the face of noise output measurements and model uncertainties. The performance of the

proposed control law is illustrated with numerical simulations in which a class of oscillatory chemical system is used

as application example.