In nonlinear optimal control, control and operational objectives are treated directly by the formulation of a nonlinear cost function minimized according to system constraints and the relevant state equation. The comparison presented uses the rolling horizon method for the real-time application of the optimal control algorithm with updated inflow predictions and updated initial conditions.

On the other hand, the linear multivariable feedback regulator - considered with and without feedforward terms to account for external inflows - is developed via a systematic linear-quadratic procedure including precise specifications on model structure, equations and the choice of nominal steady state and quadratic criterion.

The comprehensive testing and comparison of these protocols is undertaken on the basis of their respective control results for the real large-scale sewer network located around the river Obere Iller in Bavaria. The control strategies now implemented within this network are based on this study.

Starting at the selection of possible methods of control and moving to the actual implementation of those methods in a real sewer system, Optimal Real-time Control of Sewer Networks will be invaluable to control and civil engineers working in sewage flowand wastewater treatment and of great interest to academics wishing to see how their ideas on optimal control are likely to work out when practically applied.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.