Event-based biological pest control: An LMI approach.

Area of Science:

• Agricultural Entomology
• Control Systems Engineering
• Mathematical Biology

Background:

• Pest management in sugarcane relies on understanding insect population dynamics.
• Biological control agents like Trichogramma galloi and Cotesia flavipes are crucial for sustainable pest control.
• Effective control strategies are needed to manage sugarcane borer (Diatraea saccharalis) populations.

Purpose of the Study:

• To develop an event-triggered reliable state feedback controller for the sugarcane borer system.
• To minimize the population of natural enemies while ensuring system stability.
• To reduce control updates and maintain beneficial insect introductions.

Main Methods:

• Mathematical modeling of insect interactions (sugarcane borer, Trichogramma galloi, Cotesia flavipes).
• Digital control design and implementation of an event-triggered state feedback controller.
• Simulation analysis on sugarcane borer systems to validate the control strategy.

Main Results:

• The proposed event-triggered controller effectively stabilizes the sugarcane borer system.
• Significant reduction in control updates compared to traditional methods.
• Successful maintenance of natural enemy populations and their introduction into the environment.

Conclusions:

• Event-triggered control offers an efficient strategy for managing Diatraea saccharalis.
• The developed controller enhances pest management sustainability in sugarcane cultivation.
• This approach balances pest suppression with the preservation of biological control agents.