Multi-vehicle consensus with a time-varying reference state
By Wei Ren. 2007
787 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
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In Computer Networks and Communications
In Control and Systems Engineering
Citations in the corpus
- Flocking of Multiple Mobile Robots Based on Backstepping (2011, methodology): “However, in the control laws in [32], the derivatives of neighbors’ states are required to be available, which is undesirable in practice.”
- Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols (2011, background): “To ensure that the states of a group of agents follow a reference trajectory of a leader, consensus tracking algorithms are given in [10], [11] for agents with fixed and switching topologies.”
- Distributed containment control of multi‐agent systems with general linear dynamics in the presence of multiple leaders (2013, background): “Distributed tracking algorithms are proposed, respectively, in [20] and [21] for a network of continuous-time and discrete-time agents to track a time-varying leader.”
- Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots (2014, background): “By introducing the estimates to account for the parametric uncertainties of the desired trajectory and its neighbors’ dynamics into the local controller of each subsystem, the information exchanges of online parameter estimates and local synchronization errors among linked subsystems can be avoided.”
- Consensus Tracking Under Directed Interaction Topologies: Algorithms and Experiments (2008, methodology): “Furthermore, the convergence analysis in [17] is”
- Robust semi‐global coordinated tracking of linear multi‐agent systems with input saturation (2015, background): “In previous studies, the coordinated tracking problem was first discussed for singleintegrator kinematics [14], [15], [16], and then generalized to double-integrator dynamics [17], [18], [19], [20], [21], [22] and general linear or nonlinear dynamics [23], [24], [25], [26], [27], [28], [29], [30].”
- Distributed coordination architecture for multi-robot formation control (2008, background): “For (3), consensus is reached asymptotically among the n vehicles if ri (t) → r j (t), ∀i 6= j , as t → ∞ for all ri (0).”
- Partial state consensus for networks of second-order dynamic agents (2010, neutral): “[1–5].”
- Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology (2011, background): “Enlightened by [17], we propose the following consensus tracking algorithm with the communication delay:”
- Containment of Higher-Order Multi-Leader Multi-Agent Systems: A Dynamic Output Approach (2016, background): “Some novel distributed consensus tracking algorithms for second- and higher-order multi-agent systems with a single dynamic leader were developed in [19] and [20], respectively.”
- Cooperative robust output regulation of a class of heterogeneous linear uncertain multi‐agent systems (2014, background): “As pointed out in [5, 7], the cooperative output regulation problem includes the leader-following consensus problem as a special case which was extensively studied in, for example, [13, 14] for single integrator systems, [15–17] for double integrator systems, and [18,19] for some more general system”
- Synchronized Output Regulation of Linear Networked Systems (2009, methodology): “The most relevant to our work are the recent works of Ren [13] and Ren et al. [14], where the time-varying reference and model reference tracking problem of multi-agent systems were studied respectively.”
- Robust Finite-Time Consensus Tracking Algorithm for Multirobot Systems (2009, background): “A directed spanning tree of G is a directed tree that contains all nodes of G [16].”