Multi-agent model predictive control based on resource allocation coordination for a class of hybrid systems with limited information sharing

[1]  Bart De Schutter,et al.  Integration of resource allocation coordination and branch-and-bound , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[2]  Gordon G. Parker,et al.  Survey of multi-agent systems for microgrid control , 2015, Eng. Appl. Artif. Intell..

[3]  Cishen Zhang,et al.  Optimal Coordination of G2V and V2G to Support Power Grids With High Penetration of Renewable Energy , 2015, IEEE Transactions on Transportation Electrification.

[4]  Lars Nordström,et al.  A multi-agent system for distribution grid congestion management with electric vehicles , 2015, Eng. Appl. Artif. Intell..

[5]  Manfred Morari,et al.  Embedded optimization for mixed logical dynamical systems , 2015, Comput. Chem. Eng..

[6]  Manfred Morari,et al.  A decomposition method for large scale MILPs, with performance guarantees and a power system application , 2014, Autom..

[7]  Junghui Chen,et al.  Optimal selection of the decomposition structure based on GA for distributed model predictive control systems , 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

[8]  Rajit Gadh,et al.  Electric vehicle smart charging and vehicle-to-grid operation , 2013, Int. J. Parallel Emergent Distributed Syst..

[9]  Panagiotis D. Christofides,et al.  Distributed model predictive control: A tutorial review and future research directions , 2013, Comput. Chem. Eng..

[10]  F. Marra,et al.  Demand profile study of battery electric vehicle under different charging options , 2012, 2012 IEEE Power and Energy Society General Meeting.

[11]  Wenwu Yu,et al.  An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination , 2012, IEEE Transactions on Industrial Informatics.

[12]  Ahmed Yousuf Saber,et al.  Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions , 2011, IEEE Transactions on Industrial Electronics.

[13]  P Frías,et al.  Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks , 2011, IEEE Transactions on Power Systems.

[14]  Sekyung Han,et al.  Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation , 2010, IEEE Transactions on Smart Grid.

[15]  J. Driesen,et al.  The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid , 2010, IEEE Transactions on Power Systems.

[16]  Ali Elkamel,et al.  Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations , 2010, IEEE Transactions on Industrial Electronics.

[17]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[18]  Ganesh Kumar Venayagamoorthy,et al.  Optimization of vehicle-to-grid scheduling in constrained parking lots , 2009, 2009 IEEE Power & Energy Society General Meeting.

[19]  Riccardo Scattolini,et al.  Architectures for distributed and hierarchical Model Predictive Control - A review , 2009 .

[20]  Bart De Schutter,et al.  Multi-agent model predictive control for transportation networks: Serial versus parallel schemes , 2008, Eng. Appl. Artif. Intell..

[21]  Daniel Pérez Palomar,et al.  A tutorial on decomposition methods for network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.

[22]  William B. Dunbar,et al.  Distributed receding horizon control for multi-vehicle formation stabilization , 2006, Autom..

[23]  Nicholas R. Jennings,et al.  Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems , 2005, J. Artif. Intell. Res..

[24]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[25]  Didier Dumur,et al.  Genetic Algorithm Based Model Predictive Control for Hybrid Sytems Under a Modified MLD Form , 2004 .

[26]  Bruce H. Krogh,et al.  Distributed model predictive control , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[27]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[28]  Craig E. Wills,et al.  Adaptive resource management , 1995, MASCOTS '95. Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[29]  G. Cohen.  Optimization by decomposition and coordination: A unified approach , 1978 .

[30]  E. L. Lawler,et al.  Branch-and-Bound Methods: A Survey , 1966, Oper. Res..

[31]  B. Schutter,et al.  Properties of applying a resource allocation coordination algorithm to optimization problems with discrete decision variables , 2018 .

[32]  Franziska Wulf,et al.  Minimization Methods For Non Differentiable Functions , 2016 .

[33]  Chenn-Jung Huang,et al.  An adaptive resource management scheme in cloud computing , 2013, Eng. Appl. Artif. Intell..

[34]  Romain Bourdais,et al.  Distributed Model Predictive Control for a Class of Hybrid system based on Lagrangian Relaxation , 2012, ADHS.

[35]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .