Data-driven approximated optimal control for chemical processes with state and input constraints

DOI10.1155/2019/1396913zbMath1429.93256OpenAlexW2982646820MaRDI QIDQ2008320

Mingfang He

Publication date: 25 November 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/1396913

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Application models in control theory (93C95)

Cites Work

• Unnamed Item
• Unnamed Item
• Constrained adaptive optimal control using a reinforcement learning agent
• Separation theorem for linearly constrained LQG optimal control
• A Chebyshev polynomial method for optimal control with state constraints
• Reinforcement learning solution for HJB equation arising in constrained optimal control problem
• Constrained model predictive control: Stability and optimality
• Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning
• Model predictive control: recent developments and future promise
• Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control
• A proof of the convergence of the Kelley-Bryson penalty function technique for state-constrained control problems
• Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
• Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design
• Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences
• Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems
• The Ritz–Trefftz Method for State and Control Constrained Optimal Control Problems
• An Approximation Theory of Optimal Control for Trainable Manipulators
• Constrained linear quadratic regulation
• A Survey of the Maximum Principles for Optimal Control Problems with State Constraints
• Control of linear systems with saturating actuators
• An Historical Survey of Computational Methods in Optimal Control
• Solving the Infinite-Horizon Constrained LQR Problem Using Accelerated Dual Proximal Methods
• On a Solution of an Optimization Problem in Linear Systems with Quadratic Performance Index
• Structured neural networks for constrained model predictive control
• The explicit linear quadratic regulator for constrained systems

This page was built for publication: Data-driven approximated optimal control for chemical processes with state and input constraints