Data-Driven Control for Nonlinear Multi-Agent Systems Using Reinforcement Learning DOI
Renzhi Liu, Hongru Ren, Hui Ma

и другие.

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC), Год журнала: 2024, Номер unknown, С. 69 - 74

Опубликована: Июнь 7, 2024

Язык: Английский

Model-Free Adaptive Control for Nonlinear Systems Under Dynamic Sparse Attacks and Measurement Disturbances DOI
Qi Zhou,

Qiangyuan Ren,

Hui Ma

и другие.

IEEE Transactions on Circuits and Systems I Regular Papers, Год журнала: 2024, Номер 71(10), С. 4731 - 4741

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

13

Quantized control for interconnected PDE systems via mobile measurement and control strategies DOI

Danjing Zheng,

Xiaona Song, Shuai Song

и другие.

Journal of the Franklin Institute, Год журнала: 2024, Номер 361(14), С. 107070 - 107070

Опубликована: Июль 14, 2024

Язык: Английский

Процитировано

9

Evolution modeling and control of networked dynamic games with event-triggering mechanism DOI
Xiangyong Chen, Jun‐e Feng, Wenying Xu

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

This paper mainly focuses on investigating the discrete event dynamic decision-making process with two noncooperative intelligent agents, defined as games (EDGs). We introduce a novel state space model and analyze existence of its equilibrium solution. Additionally, we apply principles network evolution to address challenge game modeling. By providing normal-form strategic model, first establish tree which serves an extended expression more accurately captures impact changes in strategies process. Furthermore, conduct in-depth analysis multi-layered temporal behaviors exhibited by EDGs develop corresponding model. Finally, validity proposed is demonstrated through application examples, along detailed cooperative nodes during

Язык: Английский

Процитировано

1

Asynchronous Switching Control for Fuzzy Markov Jump Systems With Periodically Varying Delay and Its Application to Electronic Circuits DOI
Yinghong Zhao, Likui Wang, Xiangpeng Xie

и другие.

IEEE Transactions on Automation Science and Engineering, Год журнала: 2024, Номер unknown, С. 1 - 12

Опубликована: Янв. 1, 2024

This article focuses on addressing the issue of asynchronous ${H_\infty}$ control for Takagi-Sugeno (T-S) fuzzy Markov jump systems with generally incomplete transition probabilities (TPs). The delay is assumed to vary periodically, resulting in one monotonically increasing interval and decreasing during each period. Meanwhile, a new Lyapunov-Krasovskii functional (LKF) devised, which depends membership functions (MFs) two looped formulated monotonic intervals. Since modes TPs original system are be unavailable, an switching controller basis hidden model proposed stabilize (FMJSs) TPs. Consequently, stability criterion improved practicality reduced conservatism derived, ensuring stochastic performance closed-loop system. Finally, this technique employed tunnel diode circuit system, comparison example given, verifies superiority method. Note Practitioners —As category hybrid nonlinear driven by continuous time discrete events, FMJSs have significant applications practical engineering such as aircraft large-scale manufacturing systems. However, real-time acquisition mode information difficult due technological constraints limited resources. Moreover, presence periodically varying prevalent many industrial processes, degradation dynamic instability. Therefore, it necessary study delays framework. Accordingly, unlike previous work, designed LKF relies modes, MFs, exhibits high degree flexibility, fully leveraging MFs delays, can significantly reduce conservatism.

Язык: Английский

Процитировано

5

Quantization-Based Event-Triggered H∞ Consensus for Discrete-Time Markov Jump Fractional-Order Multiagent Systems with DoS Attacks DOI Creative Commons
Yi Lü, Xiru Wu, Yaonan Wang

и другие.

Fractal and Fractional, Год журнала: 2024, Номер 8(3), С. 147 - 147

Опубликована: Март 2, 2024

This paper investigates the H∞ consensus problem of discrete-time Markov jump fractional-order multiagent systems (DTMJFOMASs) under denial-of-service (DoS) attacks. By applying short-memory principle, we can obtain with partially unknown probabilities. A novel quantized event-triggering mechanism (QETM), based on a mode-dependent logarithmic quantizer, is proposed to enhance transmission efficiency among multiagents. distributed controller output developed. Sufficient conditions are provided ensure system achieves through Lyapunov stability theory. Finally, two examples given verify effectiveness model.

Язык: Английский

Процитировано

4

Fully distributed data-driven model-free adaptive control for consensus tracking in multi-agent systems DOI

Sayed Shahab Aldin Sahafi,

Malihe M. Farsangi

ISA Transactions, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Protocol-Based Model Predictive Control for Fuzzy Systems with Multi-Segment DoS Attacks DOI
Qingfei Gao, Tong Wang,

Hongjie Pang

и другие.

Information Sciences, Год журнала: 2025, Номер unknown, С. 122098 - 122098

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks DOI Open Access
Genfeng Liu, Jinbao Zhu, Yule Wang

и другие.

Symmetry, Год журнала: 2025, Номер 17(3), С. 471 - 471

Опубликована: Март 20, 2025

In this paper, an improved model-free adaptive predictive control method is presented for unknown nonlinear systems with quantization to handle the limited network transmission capacity and denial of service (DoS) attacks. Firstly, reduce impact DoS attacks on system, attack compensation mechanism designed, which can be adjusted based different strategies attackers, elastic realized complexity intensity. Secondly, a uniform quantizer encoding decoding tackle bandwidth limitation effects errors. Subsequently, realize tracking task system under Attacks. The boundedness error strictly proved by theoretical analysis. proposed algorithm has certain symmetry in prediction time domain domain. It predicts state output at multiple times future each sampling time, calculates optimal sequence according predicted results. This kind symmetric relationship between optimization current reflected so as achieve performance whole interval. Finally, effectiveness robustness are verified simulation results both undisturbed disturbed conditions.

Язык: Английский

Процитировано

0

Soft actor-critic enhanced nonsingular terminal synergetic control for serial manipulators with quantized input and state DOI
Muhammad Auzan, Yong-Lin Kuo

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 150, С. 110587 - 110587

Опубликована: Март 28, 2025

Язык: Английский

Процитировано

0

Adaptive dynamic programming based event-triggered multi-H control DOI
Shan Xue, Zhe Liu, Liqi Wang

и другие.

Neurocomputing, Год журнала: 2025, Номер unknown, С. 130157 - 130157

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0