Transport of Water versus Transport over Water

Perspectives on Transport of Water Versus Transport Over Water.- Model Predictive Control for Combined Water Supply and Navigability/Sustainability in River Systems.- Data Assimilation to Improve Models Used for the Automatic Control of Rivers or Canals.- Distributed LQG Control for Multiobjective Control of Water Canals.- Forecasting and Predictive Control of the Dutch Canal Network.- Transport of Water Versus Particular Transport in Open-Channel Networks.- Coordinating Model Predictive Control of Transport and Supply Water Systems.- Effects of Uncertain Control in Transport of Water in a River-Wetland System of the Low Magdalena River, Columbia.- Automatic Tuning of PI Controllers for Water Level Regulation of a Multi-Pool Open-Channel Hydraulic System.- Hierarchical MPC-Based Control of an Irrigation Canal.- Model Predictive Control for Incorporating Transport of Water and Transport Over Water in the Dry Season.- Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case.- Effects of Water Flow on Energy Consumption and Travel Times of Micro-Ferries for Energy-Efficient Transport Over Water.- Potential Fields in Modeling Transport Over Water.- Safe and Efficient Port Approach by Vessel Traffic Management in Waterways.- Technological Challenges and Developments in European Inland Waterway Transport.- Wave Filtering and Dynamic Positioning of Marine Vessels Using a Linear Design Model: Theory and Experiments.- Closed-Loop Identification and Control of Inland Vessels.- Nonlinear Iterative Control of Maneuvering Models for Transport Over Water.- Performance Evaluation of an Inland Pusher.- City Logistics by Water: Good Practices and Scope for Expansion.- Reactivation of the Small Inland Waterway Network.- Fostering Cooperation in Inland Waterway Networks: A Gaming and Simulation Approach.

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.