StateSpaceController

State-space control implementation for multivariable process control.

Overview

Note

This section is currently under development. Complete implementation details will be available in a future release.

The StateSpaceController provides state-space control capabilities for multivariable chemical process control applications.

Theory

State-space control represents systems using state variables and provides a foundation for modern control techniques like LQR and Kalman filtering.

Implementation

# Implementation details coming soon
from sproclib.controller.state_space import StateSpaceController

# Basic usage example will be provided
pass

Features

  • Multivariable control capability

  • State estimation integration

  • Optimal control formulations

  • Observer-based implementations

Applications

Suitable for processes with:

  • Multiple inputs and outputs (MIMO)

  • Strong variable interactions

  • Need for state estimation

  • Optimal performance requirements

See Also