Distributed receding horizon control for multi-vehicle formation stabilization

By William B. Dunbar, Richard M. Murray. 2006

778 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

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Citations in the corpus

Unicycle Coverage Control Via Hybrid Modeling (2010, neutral): “, [1]–[4] on formation stabilization and synchronization.”
Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability (2012, methodology): “achieves this can be done by following the approach in [7].”
Robust distributed model predictive control (2007, background): “2003, Dunbar and Murray 2006), partial grouping of computations (Keviczky et al .”
Distributed model predictive control: A tutorial review and future research directions (2013, neutral): “…Mayne, Seron, and Rakovic (2005) for DMPC In Jia and Krogh (2001), a DMPC scheme for linear systems coupled only through the state is considered, while Dunbar and Murray (2006) deals with the problem of distributed control of dynamically decoupled nonlinear systems coupled by their cost function.”
Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments (2008, methodology): “…a recent survey by Murray (2007), two main methods were identified to solve formation control problems: an 107 optimization-based method (Parker 1993 Dunbar and Murray 2006) and a potential fields method (Leonard and Fiorelli 2001b Atkar et al. 2002 Justh and Krishnaprasad 2004 Ögren et al. 2004).”
Model Predictive Control — Status and Challenges (2013, neutral): “近年来通信技术的发展和分布式控制软硬件的完善 , 使分布式预测控制从理论走向实践 , 应用已遍及到多个领域 , 包括过程控制 [43] 、电力系统 [44] 、交通系统 [45] 及近年来十分活跃的多智能体协作控制等 [46] . b) 策略层面 : 离线设计 / 在线综合与输入参数在这里特别要提到的是由 Bemporad 等提出的显式 (Explicit) 模型预测控制器 [51 − 52] , 它通过对预测控制在线约束优化问题的分析 , 离线求解多参数规划问题 , 对约束状态空间分区并设计各区间的显式反馈控制律 ; 在线控制时 , 只需依据系统的当前状态 ,…”
A Survey on Aerial Swarm Robotics (2018, methodology): “Since the cost function is optimized in real-time over a ﬁnite-time horizon, often times recomputed using the current states of the robots as the initial conditions, (7) can be viewed as model predictive control (MPC) [25], [84]–[87].”
Cooperative Look-Ahead Control for Fuel-Efficient and Safe Heavy-Duty Vehicle Platooning (2015, neutral): “Index Terms —Distributed model predictive control, dynamic programming, fuel-efﬁcient platooning, look-ahead control, optimal control, platooning, safe platooning.”
Cooperative Optimal Control for Multi-Agent Systems on Directed Graph Topologies (2014, background): “Cooperative optimal control was recently considered by many authors-[11], [12], [14]–[17], to name just a few.”
Decentralized receding horizon control for large scale dynamically decoupled systems (2009, background): “These conclusions are in agreement with the stability conditions of a distributed RHC scheme proposed in [9], where it is shown that convergence to a smaller neighborhood of the system equilibrium requires more frequent updates.”
Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach (2015, background): “Cooperative optimal control problems have aroused the interest of many researchers [27]–[33].”