Distributed model predictive control

By E. Camponogara, Dong Jia, Bruce H. Krogh, Sarosh Talukdar. 2002

1,068 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/136ac94d3b98b01e3c48d8291fef6f7cc06f68fd

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In Control and Systems Engineering

Citations in the corpus

Distributed receding horizon control for multi-vehicle formation stabilization (2006, background): “In another work, Jia and Krogh [8] solve a min-max problem for each subsystem, where again coupling comes in the dynamics and the neighboring subsystem states are treated as bounded contracting disturbances.”
A Differential Game Approach to Formation Control (2008, methodology): “Using receding horizon approaches for the virtual leader structure has been investigated, such as contractive stability constraint [15] and compatibility constraint [16].”
Robust constrained model predictive control (2005, background): “To address this computational issue, attention has recently focused on decentralized MPC [9], with various approaches, including robustness to the actions of others [51, 52], penalty functions [53, 54], and partial grouping of computations [55].”
Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics (2009, background): “Stabilizing MPC algorithms for decentralized and distributed systems have been proposed in [10]–[16] for dynamically coupled and decoupled systems.”
Stability and optimality of distributed model predictive control (2005, background): “2Similar strategies have been proposed by [13], [14] updated.”
Architectures for distributed and hierarchical Model Predictive Control - A review (2009, methodology): “As for the MPC algorithms published in the literature, the state feedback method described in [13] (see also [42]), for discrete-time”
Asynchronous Gossip-Based Random Projection Algorithms Over Networks (2013, methodology): “We apply the GRP algorithm to a distributed robust model predictive control (MPC) problem [1].”
Decentralized receding horizon control for large scale dynamically decoupled systems (2009, background): “Dynamically coupled systems have been the most studied [6, 8, 23, 25, 26].”
Robust distributed model predictive control (2007, background): “MPC (DMPC) (Camponogara et al. 2002), breaking the optimization into smaller sub-problems, with the rationale that solving many small problems is faster”
Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability (2012, background): “Literature on distributed receding horizon control has examined coupled subsystem dynamics for linear dynamics [1], [3], [17], [23] and nonlinear dynamics [6], [14].”
Model Predictive Control — Status and Challenges (2013, positive): “在国内 , 除了与国际同步开展的对预测控制理论的研究外 [19 − 26] , 预测控制的应用已从传统的炼油、石化、化工行业延伸到电力 [27] 、钢铁 [28] 、船舶 [29] 、空天 [30] 、机电 [31] 、城市交通 [32] 、渠道 [33] 、农业温室 [34] 在大规模系统预测控制的研究中 , 近年来更受到重视的是采用分布式结构降低计算复杂性 [40 − 41] , 分布式预测控制基于用局部信息进行局部控制的思想把大规模约束优化控制问题分解为多个小规模问题 , 不仅可以大大降低计算负担 , 而且提高了整体系统的鲁棒性 .”
Urban traffic signal control with connected and automated vehicles: A survey (2019, background): “…design principles for spatially interconnected systems (D'Andrea and Dullerud, 2003), and the distributed model predictive control and stability analysis techniques (Camponogara et al., 2002) that could all provide useful insights for the topic of distributed network-level traffic signal control.”
Distributed model predictive control: A tutorial review and future research directions (2013, positive): “In Camponogara et al. (2002), a DMPC algoithm was proposed for a class of discrete-time linear systems.”
Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach (2008, methodology): “Following the reasoning of this latter aspect, adaptive control [3], and more recently, model-predictive control [4] approaches have been proposed.”