Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone
By Yanjun Liu, Ying Gao, Shaocheng Tong, Yong-ming Li. IEEE transactions on fuzzy systems, 2016
396 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7c50a1d7af88a95df59f75b8383469cb3c5f7fea
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In Computational Theory and Mathematics
In Control and Systems Engineering
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Citations in the corpus
- Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints (2017, background): “Bulk of existing papers consider the nonlinear systems without constraints [53]–[58], nonlinear systems with input constraints [59]–[63], nonlinear systems with constant output constraints [64], [65], or certain SISO nonlinear systems subjected to time-varying output constraints [52].”
- 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).”
- Prescribed Performance Control of Uncertain Euler–Lagrange Systems Subject to Full-State Constraints (2018, neutral): “linear systems with nonparametric uncertainties [3], [6], [14], [15], [31].”
- Adaptive Fuzzy Backstepping Tracking Control for Strict-Feedback Systems With Input Delay (2017, background): “In [29], the authors developed an adaptive fuzzy optimal control scheme for unknown nonlinear discrete-time systems.”
- Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm (2020, background): “According to [28], the dead zone of the actuator can be decomposed into a linear term and an interference-like term where The parameters h i , r , h i , l , o i , r , and o i , l are positive and unknown for i = 1 , 2 , . . . , N .”