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Citation(s) in
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9
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NEUROCOMPUTING (9)
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For:
Li R
, Chen M, Wu Q.
Adaptive neural tracking control for uncertain nonlinear systems with input and output constraints using disturbance observer.
Neurocomputing
2017;
235
:27-37. [DOI:
10.1016/j.neucom.2016.12.032
]
[
Citation(s) in
RCA
: 48
]
[
Impact Index Per Article: 6.9
]
[
Reference Citation Analysis
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[Indexed: 11/23/2022]
Number
Cited by Other Article(s)
1
Adaptive tracking control for an unmanned autonomous helicopter using neural network and disturbance observer.
Neurocomputing
2022. [DOI:
10.1016/j.neucom.2021.09.060
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.5
]
[
Reference Citation Analysis
]
[
Track Full Text
]
[
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]
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[Indexed: 11/24/2022]
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2
Neuroadaptive fault-tolerant control of state constrained pure-feedback systems: A collective backstepping design.
Neurocomputing
2021. [DOI:
10.1016/j.neucom.2020.07.096
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 1.3
]
[
Reference Citation Analysis
]
[
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]
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[Indexed: 11/22/2022]
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3
Meng R
, Chen S, Hua C, Qian J, Sun J. Disturbance observer-based output feedback control for uncertain QUAVs with input saturation.
Neurocomputing
2020. [DOI:
10.1016/j.neucom.2020.06.096
]
[
Citation(s) in
RCA
: 9
]
[
Impact Index Per Article: 2.3
]
[
Reference Citation Analysis
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[Indexed: 10/23/2022]
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4
Wei Y
, Zhou PF, Wang YY, Duan DP, Zhou W. Adaptive neural dynamic surface control of MIMO uncertain nonlinear systems with time-varying full state constraints and disturbances.
Neurocomputing
2019. [DOI:
10.1016/j.neucom.2019.07.033
]
[
Citation(s) in
RCA
: 21
]
[
Impact Index Per Article: 4.2
]
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[Indexed: 11/27/2022]
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5
Ren Y
, Chen M. Anti-swing control for a suspension cable system of a helicopter with cable swing constraint and unknown dead-zone.
Neurocomputing
2019. [DOI:
10.1016/j.neucom.2019.04.056
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 0.6
]
[
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[Indexed: 10/26/2022]
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6
Liu C
, Zhao Z, Wen G. Adaptive neural network control with optimal number of hidden nodes for trajectory tracking of robot manipulators.
Neurocomputing
2019. [DOI:
10.1016/j.neucom.2019.03.043
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 2.8
]
[
Reference Citation Analysis
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[Indexed: 10/27/2022]
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7
Robust adaptive NN control of dynamically positioned vessels under input constraints.
Neurocomputing
2018. [DOI:
10.1016/j.neucom.2018.08.056
]
[
Citation(s) in
RCA
: 18
]
[
Impact Index Per Article: 3.0
]
[
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[Indexed: 11/17/2022]
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8
Wang X
, Yin X, Shen F. Disturbance observer based adaptive neural prescribed performance control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis.
Neurocomputing
2018. [DOI:
10.1016/j.neucom.2018.02.088
]
[
Citation(s) in
RCA
: 22
]
[
Impact Index Per Article: 3.7
]
[
Reference Citation Analysis
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[Indexed: 11/29/2022]
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9
Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer.
Neurocomputing
2018. [DOI:
10.1016/j.neucom.2018.02.082
]
[
Citation(s) in
RCA
: 11
]
[
Impact Index Per Article: 1.8
]
[
Reference Citation Analysis
]
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[Indexed: 11/20/2022]
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