René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Undesired model reduction","articleBody":"Hello,\r\nIt seems to me that when I try to define a non-minimal state representation (e.g. with a state that can't be controlled or that doesn't have a dynamic) the system returned by the StateSpace class is automatically reduced, by eliminating such \"non meaningful\" states.\r\nAs example consider the following code:\r\n```\r\nfrom control import StateSpace\r\n\r\na = [[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]\r\nb = [[1, 0], [0, 0], [0, 1]]\r\nc = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]\r\nd = [[0, 0], [0, 0], [0, 0]]\r\nx = StateSpace(a,b,c,d)\r\n```\r\n\r\nthe obtained state representation is the following :\r\n```\r\n\u003e\u003e\u003e x\r\nA = [[0. 0.]\r\n [0. 0.]]\r\n\r\nB = [[1. 0.]\r\n [0. 1.]]\r\n\r\nC = [[1. 0.]\r\n [0. 0.]\r\n [0. 1.]]\r\n\r\nD = [[0. 0.]\r\n [0. 0.]\r\n [0. 0.]]\r\n```\r\n\r\nwhere the second state has been removed. Is it possible to not have this automatic model reduction (regardless of the fact that such state is not meaningful ) ? I couldn't find anything in the documentation","author":{"url":"https://github.com/DarioTurchi","@type":"Person","name":"DarioTurchi"},"datePublished":"2021-01-30T19:47:25.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/526/python-control/issues/526"}