Controllability Matrix Helper

Summary

Enter A and B matrices of a linear state-space system (up to 4×4) to build the Kalman controllability matrix, compute its rank, and determine if the system is fully controllable.

How it works

1. Select the system order n (number of states): 2, 3, or 4.
2. Enter the n×n state matrix A and the n×1 input matrix B.
3. The tool builds the controllability matrix C = [B | AB | A²B | … | A^(n-1)B] column by column.
4. Gaussian elimination with partial pivoting computes the numerical rank of C.
5. If rank(C) = n, the system is fully controllable — every state is reachable from any initial condition using a suitable input. Otherwise the system is not fully controllable and the deficient rank indicates how many uncontrollable modes exist.

Use cases

• Verify that all states of a designed controller can be independently steered before implementing pole placement.
• Identify uncontrollable modes in a linearized plant model to redesign actuator placement.
• Check controllability of reduced-order models obtained after model-order reduction.
• Confirm that a state observer (Luenberger or Kalman filter) design is feasible by checking the dual observability condition.
• Validate textbook or homework state-space problems against the rank condition quickly.

Frequently Asked Questions