This book strives to 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 book presents 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);
aims at promoting the topics of transport and water control;
highlights the possible twofold nature of water projects, where water either acts as primary object of study or as a means.
Transport of Water versus Transport over Water 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 demonstrate the interaction and cross-relations between both fields. It also helps 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.
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1 Perspectives on Transport of Water versus Transport over Water |
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1 | (12) |
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Part I Transport of Water |
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2 Model Predictive Control for Combined Water Supply and Navigability/Sustainability in River Systems |
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13 | (22) |
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3 Data Assimilation to Improve Models used for the Automatic Control of Rivers or Canals |
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35 | (24) |
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4 Distributed LQG Control for Multiobjective Control of Water Canals |
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59 | (16) |
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5 Forecasting and Predictive Control of the Dutch Canal Network |
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75 | (20) |
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6 Transport of Water versus Particular Transport in Open-Channel Networks |
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95 | (16) |
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7 Coordinating Model Predictive Control of Transport and Supply Water Systems |
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111 | (20) |
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8 Effects of Uncertain Control in Transport of Water in a River-Wetland System of the Low Magdalena River, Colombia |
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131 | (14) |
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9 Automatic Tuning of PI Controllers for Water Level Regulation of a Multi-pool Open-Channel Hydraulic System |
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145 | (24) |
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10 Hierarchical MPC-Based Control of an Irrigation Canal |
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169 | (22) |
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Part II Transport over Water |
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11 Model Predictive Control for Incorporating Transport of Water and Transport over Water in the Dry Season |
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191 | (20) |
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12 Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case |
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211 | (24) |
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13 Effects of Water Flow on Energy Consumption and Travel Times of Micro-Ferries for Energy-Efficient Transport over Water |
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235 | (24) |
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14 Potential Fields in Modeling Transport over Water |
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259 | (22) |
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15 Safe and Efficient Port Approach by Vessel Traffic Management in Waterways |
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281 | (16) |
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16 Technological Challenges and Developments in European Inland Waterway Transport |
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297 | (18) |
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17 Wave Filtering and Dynamic Positioning of Marine Vessels Using a Linear Design Model: Theory and Experiments |
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315 | (30) |
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18 Closed-Loop Identification and Control of Inland Vessels |
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345 | (24) |
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19 Nonlinear Iterative Control of Manoeuvring Models for Transport over Water |
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369 | (20) |
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20 Performance Evaluation of an Inland Pusher |
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389 | (24) |
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21 City Logistics by Water: Good Practices and Scope for Expansion |
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413 | (26) |
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22 Reactivation of the Small Inland Waterway Network |
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439 | (24) |
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23 Fostering Cooperation in Inland Waterway Networks: A Gaming and Simulation Approach |
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463 | |
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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.
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