TY - BOOK ID - 706750 TI - Distributed model predictive control made easy AU - Maestre, Jose M. AU - Negenborn, R. R. PY - 2014 SN - 9400770065 PB - Dordrecht, Netherlands : Springer, DB - UniCat KW - Business planning. KW - Computer simulation. KW - Engineering. KW - System theory. KW - Vibration. KW - Organization. KW - Planning. KW - Dynamical systems. KW - Dynamics. KW - Control engineering. KW - Control. KW - Vibration, Dynamical Systems, Control. KW - Systems Theory, Control. KW - Simulation and Modeling. KW - Cycles KW - Mechanics KW - Sound KW - Systems, Theory of KW - Systems science KW - Science KW - Construction KW - Industrial arts KW - Technology KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Automation KW - Programmable controllers KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Physics KW - Statics KW - Creation (Literary, artistic, etc.) KW - Executive ability KW - Management KW - Organization KW - Organisation KW - Philosophy KW - Business enterprises KW - Business plans KW - Corporate planning KW - Corporate strategy KW - Corporations KW - Strategy, Corporate KW - Planning KW - Strategic planning KW - Systems theory. KW - Control and Systems Theory. KW - Predictive control. UR - https://www.unicat.be/uniCat?func=search&query=sysid:706750 AB - The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.   This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available. ER -