Sampled-Data H_∞ Dynamic Output-Feedback Control for NCSs With Successive Packet Losses and Stochastic Sampling

Area of Science:

• Control Systems Engineering
• Networked Systems
• Stochastic Processes

Background:

• Networked control systems face challenges from packet losses and irregular sampling.
• Sampled-data control aims to reduce network load.
• Successive packet losses (SPLs) in sensor-controller and controller-actuator channels require robust modeling.

Purpose of the Study:

• To develop a sampled-data H∞ dynamic output-feedback control strategy.
• To address systems with successive packet losses (SPLs) and stochastic sampling.
• To ensure exponential mean-square stability and H∞ performance.

Main Methods:

• Modeling SPLs and stochastic sampling using a Bernoulli distribution.
• Developing an equivalent discrete-time stochastic system model.
• Applying probability theory to establish stability and H∞ performance conditions.
• Designing a controller via a step-by-step synthesis approach.

Main Results:

• An exponential mean-square stability condition guaranteeing H∞ performance was derived.
• The proposed controller design exhibits potentially lower conservatism than existing methods.
• The effectiveness of the approach was validated using a networked F-404 engine system model.

Conclusions:

• The developed sampled-data H∞ control method effectively handles SPLs and stochastic sampling in networked systems.
• The approach offers advantages in stability and performance guarantees.
• The F-404 engine case study demonstrates practical applicability and superiority over prior techniques.