Event-triggered single-network adp for zero-sum game of unknown nonlinear systems with constrained input

B Peng, X Cui, Y Cui, W Chen - Applied Sciences, 2023 - mdpi.com
In this paper, an event-triggered adaptive dynamic programming (ADP) method is proposed
to deal with the H∞ problem with unknown dynamic and constrained input. Firstly, the H∞ …

Echo State Network-Based Robust Tracking Control for Unknown Constrained Nonlinear Systems by Using Integral Reinforcement Learning

C Liu, Y Li, Z Duan, Z Chu, Z Ma - IEEE Access, 2024 - ieeexplore.ieee.org
It is necessary to consider the robustness in the tracking problem, which can effectively
suppress the external disturbance to ensure the tracking performance. Different from …

Constrained optimal control for nonlinear multi-input safety-critical systems with time-varying safety constraints

J Wang, C Qin, X Qiao, D Zhang, Z Zhang, Z Shang… - Mathematics, 2022 - mdpi.com
In this paper, we investigate the constrained optimal control problem of nonlinear multi-input
safety-critical systems with uncertain disturbances and time-varying safety constraints. By …

Data‐Driven Optimal Tracking Control of Nonlinear Affine Systems Based on Differential Dynamic Programming

B Zhang, C Ma, L Yan, H Li, J Xia - Mathematical Problems in …, 2023 - Wiley Online Library
In this paper, a data‐driven differential dynamic programming (DDP) algorithm is presented
for the optimal tracking problems of nonlinear affine systems with unknown drift dynamics …

Event-Triggered single-network Control for Nonlinear Continuous-Time Zero-Sum Games with Partially Unknown Dynamics

B Peng, X Cui, Z Wan, H Yu - 2022 First International …, 2023 - ieeexplore.ieee.org
This paper proposes an event-triggered integral reinforcement learning algorithm to solve
the Hamilton-JacobiIsaacs (HJI) equation related to the zero-sum game problem. Then, we …