Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances
By Ion Necoara, B. Schutter, T. Boom, J. Hellendoorn. IEEE Conference on Decision and Control, 2004
648 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/6e92bfc053d6e760cfdf99804ea0b96fb439025f
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In Control and Systems Engineering
Citations in the corpus
- Information consensus in multivehicle cooperative control (2007, methodology): “For the continuous consensus algorithm (1), [32] considers the Lyapunov candidate V(x) = max{x1, .”
- A Differential Lyapunov Framework for Contraction Analysis (2012, methodology): “Equation (49) is also a time-varying monotone system [5], [47], and its stability properties have been studied by many authors [30], [53].”
- On robust control algorithms for nonlinear network consensus protocols (2008, background): “Even though many consensus protocol algorithms have been developed over the last several years in the literature (see [1–8, 13] and the numerous references therein), and some robustness issues have been considered [4, 11, 14–18], robustness properties of these algorithms involving nonlinear dynamics”
- Consensus Problems on Networks With Antagonistic Interactions (2013, background): “That Laplacian feedback schemes for consensus correspond to contractions in a proper metric space, and that these contractions are a special case of monotone systems was observed already by Moreau [37].”
- Coordination in multiagent systems and Laplacian spectra of digraphs (2009, background): “If the delays are the same for all pairs of agents, then their presence does not essentially alter the properties of the coordination trajectories [26].”
- Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior (2009, background): “A variety of consensus algorithms has been developed to deal with delayed measurements [5, 31, 34], dynamic topologies [34], or unreliable (on/off) communication links (see the survey [38]).”
- A survey of consensus problems in multi-agent coordination (2005, background): “As described in [2], [10], [11], [12], [13], [14], a continuous-time consensus protocol can be summarized as”
- Global Analysis of Multi-Agent Systems Based on Vicsek's Model (2009, background): “Other works discussing averaging consensus protocols include [2], [4], [6], [9] [11], [14], [16], [17], [23], and [10], [15].”
- Leader‐following control for multiple inertial agents (2011, background): “More specifically, the work in [19] studied the distributed consensus algorithms when the common constant communication delay affected only those variables that were actually being communicated between distinct agents in the network.”
- Synchronization in networks of identical linear systems (2008, background): “The convergence of such consensus algorithms has attracted a lot of interest in the recent years and it only requires a weak form of connectivity for the communication graph [1], [2], [3], [4], [5].”
- A tutorial on modeling and analysis of dynamic social networks. Part I (2017, background): “Many results, regarding consensus algorithms over time-varying graphs, have been obtained in [56, 100, 101, 103–108] and extended to general dynamic agents [56, 57, 109–111].”
- Consensus strategy for a class of multi‐agents with discrete second‐order dynamics (2012, methodology): “Moreau [6, 11] uses a rather different approach from the previous ones, where tools from nonlinear dynamics are employed to obtain a broad class of communication patterns that guarantee global consensus.”
- Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises (2010, background): “This key assumption has been widely used in the relevant literature for the noise-free cases [27]–[34].”