Society heavily depends on infrastructure systems, such as road-traffic networks, water networks, electricity networks, etc. Infrastructure systems are hereby considered to be large-scale, networked systems, that almost everybody uses on a daily basis, and that are so vital that their incapacity or destruction would have a debilitating impact on the defense or economic security and functioning of society. The operation and control of existing infrastructures such as road-traffic networks, water networks, electricity networks, etc. are failing: too often we are confronted with capacity problems, unsafety, unreliability and inefficiency. This book concentrates on a wide range of problems concerning the way infrastructures are functioning today and discuss novel advanced, intelligent, methods and tools for the operation and control of existing and future infrastructures.

Preface; List of Contributors; Introduction; Part I Generic Infrastructures: 1 Intelligence in Transportation Infrastructures via Model-Based Predictive Control, by R.R. Negenborn and H. Hellendoorn: 1.1 Transportation infrastructures; 1.2 Towards intelligent transportation infrastructures; 1.3 Model predictive control; 1.4 MPC for intelligent infrastructures ; 1.5 Conclusions and future research; References; 2 Model Factory for Socio-Technical Infrastructure Systems, by K.H. van Dam and Z. Lukszo: 2.1 Introduction; 2.2 Model factory for socio-technical systems; 2.3 Illustrative case studies; 2.4 Decision support using the model factory; 2.5 Conclusions and future research; References; Part II Electricity Infrastructures; 3 Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control, by S. Leirens and R.R. Negenborn: 3.1 Introduction; 3.2 Power network operation; 3.3 Hybrid dynamical models of power networks; 3.4 Model predictive control; 3.5 Simulation studies; 3.6 Conclusions and future research; References; 4 Module-Based Modeling and Stabilization of Electricity Infrastructure, by L. Xie and M.D. Ilic: 4.1 Introduction; 4.2 Literature review; 4.3 Our approach; 4.4 Numerical examples; 4.5 Conclusions and future research; References; 5 Price-based Control of Electrical Power Systems, by A. Jokic, M. Lazar, and P.P.J. van den Bosch: 5.1 Introduction; 5.2 Optimization decomposition: Price-based contro; 5.3 Preserving the structure: Distributed price-based contro; 5.4 Conclusions and future research; References; 6 Survivability and Reciprocal Altruism: Two Strategies for Intelligent Infrastructure with Applications to Power Grids, by P. Hines: 6.1 Introductio; 6.2 Stress, blackouts, and complexit; 6.3 Survivability; 6.4 Adaptive reciprocal altruism; 6.5 Conclusions and future research; References; 7 Multi-agent Coordination for Market Environments, by R. Duan and G. Deconin: 7.1 Introductio; 7.2 Emerging model of the next generation electricity infrastructure; 7.3 Electricity market structure and mechanis; 7.4 A promising multi-agent system framework for coordination 7.5 Preliminary result; 7.6 Related work; 7.7 Conclusions and future research; References; 8 Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation, by J.K. Kok, M.J.J. Scheepers, and I.G. Kamphuis: 8.1 Introduction; 8.2 On the special nature of electricity and its infrastructur; 8.3 Electricity networks and electricity market; 8.4 Changing nature of electricity generatio; 8.5 Intelligent distributed coordination in electricit; 8.6 Field test results; 8.7 Conclusions and future research; References; 9 Social and Cyber Factors Interacting over the Infrastructures: A MAS Framework for Security Analysis, by E. Bompard, R. Napoli, and F. Xue: 9.1 Introduction; 9.2 A general framework for security analysis; 9.3 Multi-agent model for the analysis of coordination and control; 9.4 Analysis of information impact; 9.5 Conclusions and future research; References; 10 Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks, by M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter: 10.1 Introduction; 10.2 Energy hub concept; 10.3 Modeling multi-carrier systems; 10.4 Centralized model predictive control; 10.5 Distributed model predictive control; 10.6 Simulation results; 10.7 Conclusions and future research; References; Part III Road Traffic Infrastructures; 11 Model-based Control of Intelligent Traffic Networks, by B. De Schutter, H. Hellendoorn, A. Hegyi, M. van den Berg, and S.K. Zegey: 11.1 Introduction; 11.2 Traffic model; 11.3 Model-based predictive traffic control; 11.4 Case studies; 11.5 Conclusions and future research; References; 12 Intelligent Road Network Control, by J.L.M. Vrancken and M. dos Santos Soares: 12.1 Introduction; 12.2 Research questions; 12.3 Approach; 12.4 Related work; 12.5 TCA: The architecture for road traffic control; 12.6 T