Recursive Filtering for Complex Networks with Filter-and-Forward Relays Subject to Fading Channels

This paper is concerned with the proportional-integral-derivative (PID) control problem for a greenhouse environmental system under the event-triggered mechanism (ETM) using the decomposition-based multi-objective evolutionary algorithm (MOEA/D). To reduce network resource consumption, ETM is implemented in the communication channels between the sensors and the controller. Firstly, a greenhouse environmental system model based on temperature variations is adopted. Secondly,the energy consumption and accuracy are used as performance metrics to construct the objective functions. Furthermore, the MOEA/D is employed under the ETM to optimize the established objective functions, obtaining the Pareto optimal solutions, and subsequently tuning the parameters of the PID controller. Finally, the simulation results validate the effectiveness of the proposed event-based PID control strategy using MOEA/D.