An Impulsive Approach to State Estimation for Multirate Singularly Perturbed Complex Networks Under Bit Rate...

Area of Science:

• Control Systems Engineering
• Networked Systems
• Signal Processing

Background:

• Investigates state estimation for discrete-time multirate singularly perturbed complex networks.
• Addresses challenges posed by bit rate constraints in wireless communication for remote estimation.
• Highlights the need for efficient estimation methods with periodic, constrained measurements.

Purpose of the Study:

• To develop an impulsive estimation method for ultimately bounded state estimation.
• To establish conditions ensuring exponential boundedness of estimation error dynamics.
• To introduce an optimization algorithm for bit rate allocation and estimator gain design.

Main Methods:

• Utilizes an impulsive estimation approach for periodic measurement corrections.
• Employs iteration analysis under the impulsive mechanism to derive stability conditions.
• Develops an optimization algorithm for resource allocation and controller design.

Main Results:

• Establishes a sufficient condition for exponential boundedness of estimation error.
• Demonstrates the correlation between estimation performance and bit rate allocation.
• Validates the proposed method through a simulation example.

Conclusions:

• The impulsive estimation method effectively handles bit rate constraints in complex networks.
• The developed optimization algorithm facilitates efficient resource management for improved estimation.
• The findings provide a robust framework for state estimation in constrained networked systems.