2022 China Automation Congress (CAC) 2022
DOI: 10.1109/cac57257.2022.10055960
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Neural Adaptive Dynamic Surface Control of PMSMs with Input Saturation and output constraint

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“…A series of control methods based on uncertain nonlinear systems are proposed, such as dynamic surface control [3], adaptive control [4], neural network control [5], etc. In [6], the adaptive neural tracking control problem of a class of uncertain nonlinear systems under input saturation and output constraints is studied. In literature [7], an auxiliary system is introduced to compensate the influence of input saturation.…”
Section: Introductionmentioning
confidence: 99%
“…A series of control methods based on uncertain nonlinear systems are proposed, such as dynamic surface control [3], adaptive control [4], neural network control [5], etc. In [6], the adaptive neural tracking control problem of a class of uncertain nonlinear systems under input saturation and output constraints is studied. In literature [7], an auxiliary system is introduced to compensate the influence of input saturation.…”
Section: Introductionmentioning
confidence: 99%