Output-Based Decentralized Adaptive Event-Triggered Control of Interconnected Systems With Sensor/Actuator Failures.

Area of Science:

• Control Systems Engineering
• Nonlinear System Analysis
• Fault-Tolerant Control

Background:

• Nonlinear interconnected systems are susceptible to sensor and actuator faults, compromising operational integrity.
• Existing control methods face challenges with event-triggered mechanisms due to signal discontinuities in backstepping designs.
• Faults in sensors and actuators necessitate robust control strategies for reliable system operation.

Purpose of the Study:

• To develop a double-channel event-triggered control method for nonlinear interconnected systems.
• To address the challenge of nondifferentiable virtual control signals in backstepping control design under fault conditions.
• To enhance the robustness and efficiency of control systems facing sensor and actuator failures.

Main Methods:

• Utilized a double-channel (sensor-to-controller and controller-to-actuator) event-triggered control framework.
• Employed the backstepping technique to design the control strategy.
• Introduced a dynamic filtering technique to manage nondifferentiable virtual control signals.
• Established variable relationships for scenarios with and without event triggering.

Main Results:

• Successfully solved the issue of nondifferentiable virtual control signals in backstepping design.
• The proposed event-triggered mechanism avoids pre-computation of virtual control signals at the sensor side.
• Demonstrated the effectiveness and advantages of the decentralized event-triggered control approach via a numerical case study.

Conclusions:

• The proposed method offers a robust solution for controlling nonlinear interconnected systems with sensor and actuator faults.
• The dynamic filtering and novel event-triggering strategy effectively handle signal discontinuities.
• The approach enhances system reliability and performance in the presence of faults.