A robust control algorithm which uses partial state feedback is designed fo
r a class of biochemical processes in the presence of modeling uncertaintie
s. To design the controller, the model uncertainty and the nonmeasurable st
ate are combined into a new state variable. A sliding mode state observer i
s used to obtain on-line estimates of this new state. A practical stabilize
r is obtained by combining the observer with an input-output linearizing co
ntroller. The practical convergence of the observer and the controller are
proved. The performance of the sliding mode observer and the closed-loop be
havior is illustrated through numerical simulations. (C) 2001 Elsevier Scie
nce B.V. AH rights reserved.