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Control of Eating Behavior Using a Novel Feedback System

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Event-triggered output feedback control for distributed networked systems.

Magdi S Mahmoud¹, Muhammad Sabih¹, Moustafa Elshafei¹

¹Systems Engineering Department, King Fahd University of Petroleum and Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia.

ISA Transactions

|December 29, 2015

Summary

This summary is machine-generated.

This study introduces an event-triggered output-feedback control for distributed systems, reducing communication load. It uses a linear matrix inequality (LMI) approach for systems with partial state information.

Keywords:

Distributed networked control systems Event-triggered control Output-feedback control

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Area of Science:

Control Engineering
Networked Systems
Systems Theory

Background:

Distributed networked control systems (DNCS) face challenges in communication efficiency and control under partial state information.
Event-triggered communication strategies offer a promising solution to reduce network load compared to time-triggered systems.

Purpose of the Study:

To develop an event-triggered output-feedback control scheme for distributed systems with partial state availability.
To formulate the control design problem as a linear matrix inequality (LMI) feasibility problem.

Main Methods:

The proposed scheme utilizes local observers within subsystems to estimate states.
Information is shared among neighboring subsystems only when a local error threshold is exceeded.
The control design is framed as a linear matrix inequality (LMI) feasibility problem, enabling systematic solution.

Main Results:

The event-triggered output-feedback control scheme effectively manages communication in distributed systems.
The LMI formulation provides a feasible approach for designing controllers for systems with partial state information.
Demonstrated effectiveness through a coupled cart example from existing literature.

Conclusions:

The developed event-triggered output-feedback control is a viable strategy for enhancing communication efficiency in DNCS.
The LMI-based design approach offers a robust method for addressing control problems with limited state information.
This work contributes to the advancement of efficient and decentralized control strategies for networked systems.