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Possible bug: control.interconnect fails to construct a extended system with zero input and one output (D matrix shape mismatch) #1176

@yuu5g0g0

Description

@yuu5g0g0

About the problem

Summary

I attempted to simulate a control system with an output-feedback controller, defining a plant and a controller as subsystems.
When using control.interconnect to connect these subsystems, an error occurs because an extended system obtained by connecting subsystems has zero input and one output.
Is it impossible to define a system with zero input and one output using the control.interconnect function?

Error message

control.exception.ControlDimension: Incompatible dimensions of D matrix; expected (1, 0) but found (0, 0)

System information

  • OS: macOS Sonoma 14.3.1
  • Python: 3.12.2
  • python-control: 0.10.2

Cause of this problem

When we set the inputs and outputs of the extended system as zero input and one input, the D matrix of the extended system has (1, 0) dimension.
However, the dimension of D matrix is converted to (0, 0) dimension by _ssmatrix function at line 218 of statesp.py.
As a result, the mismatch of the dimensions occurs.
(When we set both inputs and outputs to zero, the error does not occur.)

To reproduce the error

import numpy as np
import control as ct

def main():

    # Define the coefficient matrices of plant P
    A = np.array(
        [
            [1.00, 1.00],
            [0.00, -2.0],
        ]
    )
    B = np.array(
        [
            [0.00],
            [1.00]
        ]
    )
    C = np.array(
        [
            [1.00, 0.00]
        ]
    )

    # Define the coefficient matrices of controller C
    A_c = np.array(
        [
            [2.25, 1.00],
            [-5.0, -0.5]
        ]
    )
    B_c = np.array(
        [
            [-1.25],
            [4.500]
        ]
    )
    C_c = np.array(
        [
            [-0.50, 1.500]
        ]
    )

    # Define the subsystems
    P = ct.ss(
        A,
        B,
        C,
        np.zeros([C.shape[0], B.shape[1]]),
        inputs=[f'u_p{i}' for i in range(B.shape[1])],
        outputs=[f'y_p{i}' for i in range(C.shape[0])],
        name='P',
        dt=True
    )
    C = ct.ss(
        A_c,
        B_c,
        C_c,
        np.zeros([C_c.shape[0], B_c.shape[1]]),
        inputs=[f'y_p{i}' for i in range(B_c.shape[1])],
        outputs=[f'u_p{i}' for i in range(C_c.shape[0])],
        name='C',
        dt=True
    )

    sys = ct.interconnect(
        [P, C],
        inplist=None,
        outlist=[f'y_p{i}' for i in range(P.C.shape[0])]
    )

if __name__ == '__main__':
    main()

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