Event-triggered adaptive compensation control for stochastic nonlinear systems with multiple failures: An improved...

Area of Science:

• Control Systems Engineering
• Nonlinear Dynamics
• Stochastic Systems

Background:

• Stochastic nonlinear systems face challenges from actuator and external failures.
• Existing event-triggered mechanisms (ETMs) may pose security risks due to large signal impulses.
• Adaptive fault-tolerant control (FTC) is crucial for system reliability.

Purpose of the Study:

• To develop an event-triggered adaptive fault-tolerant control (FTC) for stochastic nonlinear systems.
• To propose an improved switching threshold mechanism (STM) addressing security hazards and energy consumption.
• To ensure system security and improve control performance during failures.

Main Methods:

• An improved switching threshold mechanism (STM) is proposed.
• Multi-dimensional Taylor network (MTN) approximation technique is utilized.
• Adaptive fault-tolerant control scheme is designed based on the improved STM.

Main Results:

• The proposed STM mitigates security risks from large signal impulses.
• The adaptive FTC scheme demonstrates lower resource consumption.
• Closed-loop system signals are bounded in probability, and tracking error converges.
• Dynamic model simulations validate the scheme's feasibility and superiority.

Conclusions:

• The developed event-triggered adaptive FTC scheme enhances system security and performance.
• The improved STM effectively manages controller dynamics during failures.
• The approach offers a robust solution for controlling stochastic nonlinear systems with failures.