Observer-Based Decentralized Adaptive Control of Interconnected Nonlinear Systems With Output/Input Triggering

Area of Science:

• Control Engineering
• Systems Science
• Applied Mathematics

Background:

• Nonlinear interconnected systems often face challenges with communication constraints.
• Event-triggered control aims to reduce data transmission load in control systems.
• Backstepping techniques are commonly used for designing controllers for nonlinear systems.

Purpose of the Study:

• To develop a double-channel event-triggered control method for nonlinear uncertain interconnected systems.
• To address the challenges posed by discontinuous signals in backstepping control design under event-triggering.
• To propose an innovative event-triggering mechanism that simplifies control design and parameter estimation.

Main Methods:

• Utilizing backstepping techniques for controller design.
• Implementing a double-channel event-triggering mechanism at both sensor and controller sides.
• Developing an event-triggering strategy that directly considers output triggering without virtual control signal calculation at the sensor side.

Main Results:

• The proposed method successfully handles discontinuous signals in backstepping design.
• It avoids the need for separate controllers for event-triggered and non-event-triggered scenarios.
• The approach requires online updating of only one parameter estimator, mitigating over-parameterization issues.

Conclusions:

• The developed decentralized event-triggered control approach is effective for nonlinear uncertain interconnected systems.
• The innovative features offer advantages over existing methods in terms of design simplicity and efficiency.
• Numerical case studies validate the effectiveness and benefits of the proposed control strategy.