Intelligent optimal tracking with asymmetric constraints of a nonlinear wastewater treatment system
DOI10.1002/RNC.5639zbMath1527.93223OpenAlexW3176785116MaRDI QIDQ6071538
Ding Wang, Jun-Fei Qiao, Mingming Zhao
Publication date: 23 November 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5639
nonlinear controlwastewater treatmentadaptive criticasymmetric control constraintsintelligent optimal tracking
Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Adaptive control/observation systems (93C40)
Cites Work
- Neural robust stabilization via event-triggering mechanism and adaptive learning technique
- Novel iterative neural dynamic programming for data-based approximate optimal control design
- Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
- Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems
- Heuristic Dynamic Programming Using Echo State Network For Multivariable Tracking Control Of Wastewater Treatment Process
- Neural critic learning toward robust dynamic stabilization
- Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
- Data-based Self-learning Optimal Control: Research Progress and Prospects
This page was built for publication: Intelligent optimal tracking with asymmetric constraints of a nonlinear wastewater treatment system
