Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
By Zeng-Guang Hou, Long Cheng, Min Tan. 2009
629 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
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Citations in the corpus
- Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems (2017, background): “Remark 4: In order to enhance the approximation accuracy, most existing approximator-based adaptive consensus control approaches require the neuron or fuzzy rule number large enough [27], [34] so that the online computational burden becomes very heavy.”
- Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback (2017, background): “Under Assumption 1 in 2), there exists a positive definite matrix Q0 such that θ L0θ = e Q0e [48], [49].”
- Distributed adaptive control for synchronization of unknown nonlinear networked systems (2010, background): “Distributed multiagent systems with unknown nonlinear dynamics and disturbances were studied in Hou, Cheng, and Tan (2009) where distributed adaptive controllers were designed to achieve robust consensus.”
- Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, background): “Lemma 3 [42]: Let function V(t) > 0, ∀t ∈ R+ be a continuous function, and V(0) is bounded.”
- Distributed Adaptive Tracking Control for Synchronization of Unknown Networked Lagrangian Systems (2011, methodology): “In light of the projection property [18], [25], one has”
- Consensus in multi-agent systems: a review (2021, methodology): “The problem of consensus in the presence of disturbances and with agents of uncertain nonlinear dynamics has been investigated in Hou et al. (2009) by employing stable control techniques and neural networks.”
- Cooperative adaptive control for synchronization of second‐order systems with unknown nonlinearities (2011, positive): “Distributed multi-agent systems with unknown nonlinear non-identical dynamics and disturbances were studied in [33], where distributed neural adaptive controllers were designed to achieve robust consensus.”
- Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function (2014, methodology): “An adaptive neural network control method is adopted in [9]–[11] to design the control input.”
- Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics (2012, methodology): “(Hou et al., 2009) applied neural adaptive control to leaderless consensus problem of first-order nonlinear systems on undirected graphs.”
- Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (2013, methodology): “Finally, we can use some sophisticated intelligent techniques to counteract the effects of nonlinearities [67]–[69].”
- Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks (2014, background): “Lemma 2 [25], [41]: Let function V (t) > 0 be a continuous function defined ∀t ≥ 0 and bounded, and V̇ (t)≤−c1V (t)+c2, where c1 and c2 are positive constants, then V (t) ≤ V (0) e−c1t + c2/c1(1 − e−c1t ).”
- Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, background): “Neural network-based adaptive consensus has been explored for multi-agent systems with both uncertainties and external disturbances in [19, 20].”