Adaptive extremum seeking of nonisothermal tubular reactor

In this paper, we extend recent results of adaptive extremum seeking control to a class of nonlinear distributed parameter system. We address the real-time optimization of a chemical reaction that occurs in a tubular reactor described by a hyperbolic set of partial differential equations. An estimation and a control algorithm that take into account temperature constraints are developed based on a Lyapunov functional. The result of this algorithm is a late-lumping feedback profile control that steers the system to its optimum.