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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Proposal for multiplying a NumPy array by a scalar `TransferFunction`","articleBody":"Currently, multiplying a SISO `TransferFunction` object by a NumPy array results in a dimension error:\r\n\r\n```python\r\nimport control\r\nimport numpy as np\r\n\r\ntf = control.TransferFunction([1], [1, 0])\r\narr = np.array([\r\n    [1, 0],\r\n    [2, 1],\r\n])\r\n\r\nprint(tf * arr)\r\nprint(arr * tf)\r\n```\r\n\r\n```\r\nValueError: C = A * B: A has 1 column(s) (input(s)), but B has 2 row(s) (output(s)).\r\n```\r\n\r\nI think it would be convenient if output was a MIMO `TransferFunction` object of the array's dimension. So, for example,\r\n\r\n```python\r\nG = control.TransferFunction(\r\n    [\r\n        [[1], [0]],\r\n        [[2], [1]],\r\n    ],\r\n    [\r\n        [[1, 0], [1, 0]],\r\n        [[1, 0], [1, 0]],\r\n    ],\r\n)\r\n````\r\n\r\nI would be happy to implement this and do a PR, but I want to make sure it's something the maintainers actually want. I would think all SISO systems (state-space, etc) should behave in the same way.\r\n\r\nThis appears to have been discussed in #459 , but I'm not sure what the conclusion was.","author":{"url":"https://github.com/sdahdah","@type":"Person","name":"sdahdah"},"datePublished":"2024-12-05T16:15:09.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":5},"url":"https://github.com/1076/python-control/issues/1076"}