Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints
By Yanjun Liu, Shumin Lu, Shaocheng Tong, Xinkai Chen, Chun Lung Philip Chen, Dongjuan Li. at - Automatisierungstechnik, 2018
622 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/51882484a1dfccd641d2c924812ecca3dfb64fd1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Control and Systems Engineering
Citations in the corpus
- Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems (2019, methodology): “In the previous results, such as [16], [35], and [37] in which only infinite time stability is taken into account, they are still inadequate when dealing with practical applications in the sense of finite time stability.”
- Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay (2019, methodology): “The controller design of stochastic systems with state constraints in [41] was studied by utilizing BLF.”