Package neqsim.process.ml.controllers

package neqsim.process.ml.controllers

Simple control algorithms for testing RL environments from Java.

This package provides baseline controllers that can be used to:

• Test RL environment implementations without Python
• Provide baselines for comparison with trained RL agents
• Quick prototyping and debugging

Available Controllers:

• ProportionalController - P controller
• PIDController - PID controller
• BangBangController - On-off with hysteresis
• RandomController - Random baseline

Version:

1.0

Author:

ESOL

Related Packages

Package	Description
neqsim.process.ml	Machine Learning and AI integration for NeqSim.
neqsim.process.ml.examples	Example RL environments demonstrating NeqSim ML integration.
neqsim.process.ml.multiagent	Multi-agent reinforcement learning infrastructure for coordinated process control.
neqsim.process.ml.surrogate	Surrogate models and physics constraint validation for AI/ML integration.

Class	Description
BangBangController	Bang-bang (on-off) controller with hysteresis.
Controller	Interface for simple control policies that can be used to test RL environments from Java.
PIDController	PID controller for setpoint tracking with integral and derivative action.
ProportionalController	Proportional (P) controller for single setpoint tracking.
RandomController	Random controller for baseline comparison.