This book aims at stimulating discussion between researchers working on state of the art approaches for operational control and design of transport of water on the one hand and researchers working on state of the art approaches for transport over water on the other hand. The main contribution of the book as a whole is to present novel perspectives ultimately leading to the management of an envisioned unified management framework taking the recent advances from both worlds as a baseline.
The book is intended to be a reference for control-oriented engineers who manage water systems with either or both purposes in mind (transport of water, transport of goods over water). It highlights the possible twofold nature of water projects, where water either acts as primary object of study or as a means. The book is dedicated to comparing and relating to one another different strategies for (operational) management and control of different but strongly related systems in the framework of the water. In that sense, the book presents different approaches treating both the transport of water and transport over water. It compares the different approaches within the same field, highlighting their distinguishing features and advantages according to selected qualitative indices, and demonstrates the interaction and cross-relations between both fields. It will also help to determine the gaps and common points for both fields towards the design of such a unifying framework, which is lacking in the literature. Additionally, the book looks at case studies where the design of modeling/control strategies of either transport of water or transport over water have been proposed, discussed or simulated.
Carlos Ocampo-Martinez is an Assistant Professor in the Automatic Control Department (ESAII) at the Technical University of Catalonia. He earned his MSc in Industrial Automation from the National University of Colombia, Campus Manizales and his PhD in Control Engineering from the Technical University of Catalonia. His main research interests concern constrained model predictive control, discrete optimization, large-scale systems management, nonlinear and hybrid dynamics and industrial applications.
Rudy Negenborn is an Assistant Professor of Transport Engineering and Logistics at the Delft University of Technology. He earned his MSc in Computer Science at Utrecht University, and his PhD in Systems & Control at Delft University of Technology. His research interests include (Multi-)agent systems, automatic sensing and control, artificial intelligence; Local and coordinated model-based predictive control, optimization, negotiation, learning; Intelligent agents for sensing and control in large-scale infrastructures and robotics; and Multi-agent control of intermodal transport, water and power systems.
