Optimal Adaptive Output Regulation of Uncertain Nonlinear Discrete-time Systems using Lifelong Concurrent Learning
Author:
Affiliation:
1. California State University-Sacramento,Dept. of Electrical and Electronic Engineering,Sacramento,CA,USA
2. Missouri University of S&T,Dept. of Elec. and Comp. Engg,Rolla,MO,USA
3. Anna Univ,Dept. of Instr. Engg, MIT,Chennai,India
Funder
Office of Naval Research
Arm
Missouri University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09993219.pdf?arnumber=9993219
Reference14 articles.
1. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof
2. Multilayer Neural Network-based Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-time Systems
3. Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks
4. ADP-Based Online Tracking Control of Partially Uncertain Time-Delayed Nonlinear System and Application to Wheeled Mobile Robots
5. Distributed optimal control for continuous-time nonaffine nonlinear interconnected systems
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1. On the Relative Stability of Linear Time Invariant Systems;IETE Journal of Research;2024-01-17
2. Continual Learning-based Optimal Output Tracking of Nonlinear Discrete-time Systems with Constraints: Application to Safe Cargo Transfer;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16
3. Continual Optimal Adaptive Tracking of Uncertain Nonlinear Continuous-time Systems using Multilayer Neural Networks;2023 American Control Conference (ACC);2023-05-31
4. Optimal Tracking of Nonlinear Discrete-time Systems using Zero-Sum Game Formulation and Hybrid Learning;2023 American Control Conference (ACC);2023-05-31
5. Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning;IEEE Transactions on Neural Networks and Learning Systems;2023
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