Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint

By Qi Zhou, Lijie Wang, Chengwei Wu, Hongyi Li, Haiping Du. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017

435 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/6d0a74378b64d55facb9397aa7ce8558b5ac995c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Shaocheng Tong
2. Hongyi Li
3. Yong-ming Li
4. Yanjun Liu
5. Mou Chen
6. Qi Zhou
7. Chun Lung Philip Chen
8. Lijie Wang

Citations in the corpus

• Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm (2020, methodology): “Remark 1: In the existing results [35]–[38], the NNs were used to estimate the unknown nonlinear functions.”
• Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, background): “[55] proposed an adaptive fuzzy tracking control scheme for nonstrict-feedback systems in presence of input and output constraints.”
• Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems (2019, background): “[26] developed the fuzzy adaptive control for a class of single-input and single-output (SISO) nonstrict feedback nonlinear systems with output constraint.”
• Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay (2019, methodology): “The NNs or FLSs were utilized to design adaptive controllers for SISO nonlinear systems with output constraint in [35]–[37] and state constraints in [38]–[40].”