Performance–guaranteed consensus control inspired by the mammalian limbic system for a class of nonlinear multi-agents
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2425
Abstract: Abstract Computational models of emotional learning observed in the mammalian brain have inspired diverse self-learning control approaches. These architectures are promising in terms of their fast learning ability and low computational cost. In this paper,… read more here.
Keywords: system; consensus; control; guaranteed consensus ... See more keywords
Performance-Guaranteed Switching Adaptive Control for Nonlinear Systems With Multiple Unknown Control Directions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974754
Abstract: In this paper, an adaptive control strategy with novel performance-guaranteed switching mechanism is proposed for a class of nonlinear parametric strict-feedback systems with unknown parameters and multiple unknown control directions. Firstly, adaptive controller is designed… read more here.
Keywords: control; adaptive control; control directions; performance guaranteed ... See more keywords
Distributed and Performance Guaranteed Robust Control for Uncertain MIMO Nonlinear Systems With Controllability Relaxation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3174037
Abstract: In this article, we investigate the distributed output tracking problem for networked uncertain nonlinear multi-inputs–multi-outputs (MIMO) strict-feedback systems with intermittent actuator faults under a directed protocol. By embedding some user-designed performance functions into a backstepping-like… read more here.
Keywords: performance guaranteed; distributed performance; control; robust control ... See more keywords
Performance Guaranteed Deep Learning for Detection of Cyber-Attacks in Dynamic Smart Grids
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2025.3558754
Abstract: False Data Injection Attacks (FDIAs) pose a critical threat to the reliability of power systems, especially under dynamic operational conditions like line outages that cause data distribution changes and concept drift. Traditional supervised methods depend… read more here.
Keywords: detection; deep learning; guaranteed deep; power ... See more keywords