Model-Free Adaptive Control for Nonlinear Systems Under Dynamic Sparse Attacks and Measurement Disturbances

IEEE Transactions on Circuits and Systems I Regular Papers, Journal Year: 2024, Volume and Issue: 71(10), P. 4731 - 4741

Published: July 31, 2024

Language: Английский

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

Journal of the Franklin Institute, Journal Year: 2024, Volume and Issue: 361(14), P. 107070 - 107070

Published: July 14, 2024

Language: Английский

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Evolution modeling and control of networked dynamic games with event-triggering mechanism

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 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

Language: Английский

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Asynchronous Switching Control for Fuzzy Markov Jump Systems With Periodically Varying Delay and Its Application to Electronic Circuits

IEEE Transactions on Automation Science and Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: Jan. 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.

Language: Английский

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Quantization-Based Event-Triggered H∞ Consensus for Discrete-Time Markov Jump Fractional-Order Multiagent Systems with DoS Attacks

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(3), P. 147 - 147

Published: March 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.

Language: Английский

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

ISA Transactions, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Protocol-Based Model Predictive Control for Fuzzy Systems with Multi-Segment DoS Attacks

Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122098 - 122098

Published: March 1, 2025

Language: Английский

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Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks

Symmetry, Journal Year: 2025, Volume and Issue: 17(3), P. 471 - 471

Published: March 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.

Language: Английский

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Soft actor-critic enhanced nonsingular terminal synergetic control for serial manipulators with quantized input and state

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 150, P. 110587 - 110587

Published: March 28, 2025

Language: Английский

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Adaptive dynamic programming based event-triggered multi-H∞ control

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130157 - 130157

Published: April 1, 2025

Language: Английский

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