Secure event-triggered control of nonlinear networked systems via interval type-2 fuzzy observer design

Area of Science:

• Control Systems Engineering
• Fuzzy Logic Systems
• Cybersecurity in Control

Background:

• Nonlinear networked control systems (NCS) face challenges from limited bandwidth and deception attacks.
• Traditional control methods struggle with parameter uncertainties and communication constraints in NCS.
• Observer-based control is crucial for state estimation in NCS, but vulnerable to attacks.

Purpose of the Study:

• To develop an observer-based event-triggered control strategy for nonlinear NCS under deception attacks.
• To enhance control accuracy and robustness using interval type-2 fuzzy logic.
• To reduce communication load by implementing an adaptive event-triggering mechanism.

Main Methods:

• Interval type-2 fuzzy logic systems (IT2-FLS) with lower and upper membership functions for parameter uncertainty.
• Observer design incorporating an event-triggering scheme to mitigate deception attacks.
• Lyapunov-Krasovskii functional to establish asymptotic stability conditions.
• Linear Matrix Inequality (LMI) technique for deriving controller and observer gains.

Main Results:

• The proposed IT2-FLS observer effectively handles parameter uncertainties in nonlinear NCS.
• The event-triggering scheme significantly reduces communication frequency while ensuring system stability.
• Sufficient conditions for asymptotic stability were derived and validated.
• Numerical examples demonstrated the effectiveness of the proposed control strategy.

Conclusions:

• The developed observer-based event-triggered control is effective for nonlinear NCS under deception attacks.
• Interval type-2 fuzzy logic enhances robustness to uncertainties and improves control accuracy.
• The event-triggering scheme conserves bandwidth without compromising system stability, proving its practical applicability.