Adaptive Neural Networks Command Filtered Control for MIMO Nonlinear Discrete-Time Systems With Input Constraint
Author:
Affiliation:
1. School of Automation, Qingdao University, Qingdao, China
2. Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China
Funder
National Natural Science Foundation of China
National Key Research and Development Plan
Taishan Scholar Special Project Fund
Qingdao Key Research and Development Special Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10032206/09769965.pdf?arnumber=9769965
Reference20 articles.
1. Enhanced Beetle Antennae Search with Zeroing Neural Network for online solution of constrained optimization
2. Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach
3. Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances
4. Obstacle avoidance and model-free tracking control for home automation using bio-inspired approach;khan;Adv Control Appl Eng Ind Syst,2021
5. Adaptive Neural Command Filtering Control for Nonlinear MIMO Systems With Saturation Input and Unknown Control Direction
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