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Sewer networks are large-scale systems with many variables, complex dynamics and strongly nonlinear behaviour. Their control plays a fundamental role in the management of hydrological systems related to the natural water cycle, potentially avoiding flooding and sewer overflow in extreme weather. An adequate control scheme must deal with the complicated nature of sewer networks. Model Predictive Control of Wastewater Systems shows how sewage systems can be modelled and controlled within the framework of model predictive control (MPC). Several MPC-based strategies are proposed, accounting for the inherently complex dynamics and the multi-objective nature of the control required. The effect of system disturbance, represented by data from real rain episodes, on the performance of the control loop to which these strategies give rise is also accommodated. Complementary to these considerations is the incorporation of the closed-loop system within a fault-tolerant architecture and the study of faults in system actuators. Actuator faults are represented using hybrid modelling techniques, avoiding the loss of convexity of the related optimisation problem when the linear case is considered. The methods and control designs described in this book can easily be extrapolated to other complex systems of similar nature such as drinking-water networks and irrigation canals. A MATLAB® toolbox, created by the author and available for download from www.springer.com/ISBN will assist readers in implementing the MPC methods described within a sewer network. Model Predictive Control of Wastewater Systems will be of interest to academic researchers working with large-scale and complex systems and studying the applications of model-predictive, hybrid and fault-tolerant control. Control engineers employed in industries associated with water management will find this book a most useful resource for suggesting improvements in the control algorithms they employ.

Combined sewers -- Automatic control. --- Predictive control. --- Combined sewers --- Predictive control --- Mechanical Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Environmental Engineering --- Mechanical Engineering - General --- Automatic control --- Sewage disposal plants --- Automation. --- Effluent treatment plants --- Sewage treatment plants --- Sewage works --- Wastewater treatment plants --- Water pollution control plants --- WPCPs (Sewage disposal) --- Model based predictive control --- Model predictive control --- Engineering. --- Water-supply. --- Control engineering. --- Water pollution. --- Control. --- Water Industry/Water Technologies. --- Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution. --- Aquatic pollution --- Fresh water --- Fresh water pollution --- Freshwater pollution --- Inland water pollution --- Lake pollution --- Lakes --- Reservoirs --- River pollution --- Rivers --- Stream pollution --- Water contamination --- Water pollutants --- Water pollution --- Pollution --- Waste disposal in rivers, lakes, etc. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Availability, Water --- Water availability --- Water resources --- Natural resources --- Public utilities --- Water resources development --- Water utilities --- Construction --- Industrial arts --- Technology --- Refuse disposal facilities --- Sewage --- Purification --- Environmental pollution. --- Control and Systems Theory. --- Chemical pollution --- Chemicals --- Contamination of environment --- Environmental pollution --- Contamination (Technology) --- Asbestos abatement --- Bioremediation --- Environmental engineering --- Environmental quality --- Factory and trade waste --- Hazardous waste site remediation --- Hazardous wastes --- In situ remediation --- Lead abatement --- Pollutants --- Refuse and refuse disposal --- Environmental aspects