Deadzone-Modified Robust Adaptive Learning Bipartite Consensus for Heterogeneous Nonlinear Multiagent Systems
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DOI: 10.1109/tase.2025.3535516
Abstract: In this paper, the robust adaptive learning bipartite consensus problem for heterogeneous nonlinear multiagent systems with unknown control gains, external disturbances, and actuator constraints under signed directed graphs is investigated. A novel neural distributed protocol… read more here.
Keywords: consensus; adaptive learning; heterogeneous nonlinear; learning bipartite ... See more keywords