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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.026
Abstract: Abstract This paper studies the adaptive output regulation problem for a class of nonlinear systems. Under a mild immersion condition, a novel adaptive internal model is proposed by using immersion and invariance (I&I) adaptive control…
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Keywords:
immersion invariance;
invariance adaptive;
nonlinear regulator;
immersion ... See more keywords
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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3187057
Abstract: This article exposes that although some sensor-based nonlinear fault-tolerant control frameworks including incremental nonlinear dynamic inversion control can passively resist a wide range of actuator faults and structural damage without requiring an accurate model of…
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Keywords:
nonlinear incremental;
control effectiveness;
control;
unknown control ... See more keywords
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Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2944971
Abstract: In this article, we consider the distributed synchronization problem of dynamic networked systems with adaptive nonlinear couplings. Based on how the information is collected, the interactions between subsystems are characterized by nonlinear relative state couplings…
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Keywords:
nonlinear couplings;
adaptive nonlinear;
distributed synchronization;
networked systems ... See more keywords
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Published in 2018 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2017.2786729
Abstract: This paper proposes an active radio frequency (RF) cancellation solution to suppress the transmitter (TX) passband leakage signal in radio transceivers supporting simultaneous transmission and reception. The proposed technique is based on creating an opposite-phase…
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Keywords:
nonlinear cancellation;
cancellation;
leakage signal;
isolation ... See more keywords
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Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/6793175
Abstract: For nonlinear systems in which the measurement noise parameters vary over time, adaptive nonlinear filters can be applied to precisely estimate the states of systems. The expectation maximization (EM) algorithm, which alternately takes an expectation-…
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Keywords:
initial alignment;
particle filter;
swarm optimization;
particle swarm ... See more keywords