Asynchronous filtering of MSRSNSs with the event-triggered try-once-discard protocol and deception attacks

Area of Science:

• Control Systems Engineering
• Nonlinear Systems Analysis
• Stochastic Stability Theory

Background:

• Asynchronous filtering is crucial for discrete-time Markov switched nonlinear systems.
• Deception attacks and limited network bandwidth pose significant challenges.
• Event-triggered protocols are needed to optimize communication efficiency.

Purpose of the Study:

• To design an asynchronous filter for discrete-time Markov switched nonlinear systems under deception attacks.
• To develop an event-triggered try-once-discard protocol for bandwidth economization.
• To address asynchronization using a hidden Markov model with partial information.

Main Methods:

• A novel event-triggered try-once-discard protocol is proposed.
• A hidden Markov model with partial information models the asynchronization.
• A mode-dependent diagonally dominant Lyapunov function is established.

Main Results:

• Sufficient criteria for stochastic stability of the augmented filtering error system are derived.
• The asynchronous filter is designed to meet expected H_∞ performance levels.
• The proposed method's effectiveness is confirmed via a numerical example.

Conclusions:

• The developed asynchronous filter effectively handles deception attacks and bandwidth limitations.
• The event-triggered protocol ensures efficient communication in nonlinear systems.
• The study provides a robust framework for asynchronous filtering in complex systems.