Distributed model predictive control: A tutorial review and future research directions

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Model predictive control: Recent developments and future promise (2014, methodology): “An important class of problems occurs (Christofides et al., 2013) when the subsystems are decoupled but some subsystem constraints and/or objectives are coupled; this class of problems includes the problemofmaneuvering a group of vehicleswhilemaintaining relative position or avoiding collision.”
Generalized Model Predictive Static Programming and Angle-Constrained Guidance of Air-to-Ground Missiles (2014, background): “Another very promising control design approach, which has successfully been implemented in the industry (especially in slow-varying process control applications) is the idea of model predictive control (MPC) [16–18].”
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach (2017, background): “…predictive control (MPC) optimizes a networked system composed of subsystems over a time horizon, which can be decentralized (no communication) if the dynamic interconnections between subsystems are weak in order to achieve closed-loop stability as well as performance [Christoﬁdes et al., 2013].”