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RISApproximate Dynamic Programming for Two-player Zero-sum Game Related to H∞ Control of Unknown Nonlinear Continuous-time Systems
This paper develops a novel concurrent learning-based approximate dynamics programming (ADP) algorithm for solving the two-player zero-sum (ZS) game arising in H∞ control of continuous-time (CT) systems with unknown nonlinear ...
Reinforcement learning and neural networks for multi-agent nonzero-sum games of nonlinear constrained-input systems
This paper presents an online adaptive optimal control method based on reinforcement learning to solve the multi-agent nonzero-sum (NZS) differential games of nonlinear constrained-input continuous-time systems. A non-quadratic ...
Policy Iteration Algorithm Based on Experience Replay to Solve H∞ Control Problem of Partially Unknown Nonlinear Systems
In this paper, an online adaptive optimal control algorithm based on policy iteration (PI) is developed to solve the H∞ control problem of partially unknown nonlinear continuous-time (CT) systems. The convergence of existing ...
Data-based Reinforcement Learning Algorithm with Experience Replay for Solving Constrained Nonzero-sum Differential Games
Abstract—In this paper a partially model-free reinforcement learning (RL) algorithm based on experience replay is developed for finding online the Nash equilibrium solution of the multi-player nonzero-sum (NZS) differential ...
Active insulin infusion using fuzzy-based closed-loop
Active insulin infusion using fuzzy-based closed-loop
Agent-based Simulation for Blood Glucose
This paper employs a new approach to regulate the
blood glucose level of type I diabetic patient under an intensive
insulin treatment. The closed-loop control scheme incorporates
expert knowledge about ...
Knowledge-based Closed-loop Control of Blood Glucose Concentration in Diabetic Patients and Comparison with H∞ Control Technique
In this paper, fuzzy-based closed-loop controller is applied to obtain a robust controller for blood glucose regulation in type I diabetes mellitus patients. The control technique incorporates expert knowledge about treatment ...
An Automatic Insulin Infusion System based on H-Infinity
This paper presents a control algorithm for a type I diabetes mellitus patient under an intensive insulin treatment. The control algorithm employs a robust Hoc controller to regulate the blood glucose level. The control ...
Online Concurrent Reinforcement Learning Algorithm to Solve Two-player Zero-sum Games for Partially-unknown Nonlinear Continuous-time Systems
Online adaptive optimal control methods based on reinforcement learning algorithms typically need to check for the persistence of excitation condition, which is necessary to be known a priori for convergence of the algorithm. ...