Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation
By Yong-ming Li, Shaocheng Tong, Tie-shan Li. IEEE Transactions on Cybernetics, 2015
433 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/aef9938529f0b15e15964799e73c49742ffd738e
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Citations in the corpus
- Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation (2016, methodology): “[47] proposed a composite adaptive fuzzy output feedback control method for a class of nonlinear system with unmeasured states, but the considered system in [47] is a SISO system.”
- Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks (2018, background): “From a practical perspective, output-feedback path-following control is of great importance [28]–[32].”
- Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, background): “, , n) is different from that of systems in strict-feedback form, such as [59] and [60].”
- Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults (2016, methodology): “To suppress this effect, we use the adaptive σ -modification method introduced in Ioannou and Sun (1996), Li and Tong (2015), Liu and Tong (2014, 2016), Li and Yang (2016a,b), and Zhang et al. (2015).”
- Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint (2017, methodology): “However, the previous work, such as [49] and [51], only handle the problem of input saturation or output constraint in the considered systems.”