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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3778
Abstract: In this paper, the tracking control problem of adaptive neural network (NN) reinforcement learning (RL) is investigated for continuous time stochastic nonlinear systems with full state constraints and unmodeled dynamics. First, a state observer is…
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Keywords:
full state;
nonlinear systems;
control;
systems full ... See more keywords
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Published in 2019 at "Journal of Structural Engineering"
DOI: 10.1061/(asce)st.1943-541x.0002273
Abstract: AbstractThe seismic performance of nonstructural components, including suspended ceiling systems, plays a significant role during and after an earthquake. Damage to these systems can leave building...
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Keywords:
analysis suspended;
ceiling systems;
suspended ceiling;
systems full ... See more keywords
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Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3360146
Abstract: This article addresses the problem of adaptive constraint control for a class of uncertain nonlinear strict feedback systems with full state constraints. Novel fuzzy logic-based adaptive adjustment techniques are adopted to help identify system uncertainties…
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Keywords:
full state;
state constraints;
control;
systems full ... See more keywords
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Published in 2019 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2854770
Abstract: In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems. Backstepping…
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Keywords:
finite time;
control;
adaptive fuzzy;
full state ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.2996635
Abstract: In this article, the problem of adaptive fuzzy control for stochastic high-order nonlinear systems with full-state constraints of the strict-feedback structure was investigated. The unknown nonlinear functions are approximated by using fuzzy logic systems (FLSs)…
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Keywords:
full state;
state constraints;
systems full;
control ... See more keywords