A Decentralized Event-Triggered Dissipative Control Scheme for Systems With Multiple Sensors to Sample the System...

Area of Science:

• Control Systems Engineering
• Networked Systems

Background:

• Systems with diverse physical properties in outputs require specialized control.
• Decentralized control strategies are crucial for managing complex systems with multiple nodes.
• Event-triggered sampling reduces communication load in networked control systems.

Purpose of the Study:

• To develop a decentralized event-triggered dissipative control strategy for systems with heterogeneous output properties.
• To enhance communication efficiency by selectively transmitting data packets.
• To guarantee closed-loop system stability and dissipativity.

Main Methods:

• Grouping system outputs into nodes based on physical properties.
• Implementing a decentralized event-triggering scheme with a data packet processor (DPP).
• Modeling the closed-loop system as a linear system with interval time-varying delay.
• Deriving stability and dissipativity conditions using linear matrix inequalities (LMIs).

Main Results:

• A sufficient condition for asymptotic stability and strict (Q₀,S₀,R₀) -dissipativity is established.
• The proposed event-triggering scheme significantly conserves communication resources.
• Output-based controllers are designed effectively using LMIs.
• The method's effectiveness is validated through two illustrative examples.

Conclusions:

• The developed decentralized event-triggered control approach is effective for systems with varying output physical properties.
• The strategy successfully balances communication efficiency with guaranteed system performance (stability and dissipativity).
• The use of a DPP and LMI-based controller design provides a robust framework for such systems.