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In multi input multi output (MIMO) systems, we deal with matrix transfer functions. In order to reduce cost in terms of time, memory space and also hardware used to physically implement this realization, we require the number of states to be minimal: we talk about a minimal realization.

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• State Space Models • Linear State Space Formulation • Markov Parameters (Impulse Response) • Transfer Forming Outputs. Any system output is some function of the state, and possibly the input The state-space representation is especially powerful for. • multi-input, multi-output (MIMO)...

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Create a transfer function system from its numerator and denominator polynomial coefficients. If num and den are 1D array_like objects, the function creates a SISO system. To create a MIMO system, num and den need to be 2D nested lists of array_like objects. (A 3 dimensional data structure in total.) (For details see note below.)

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MIMO fractional order (FO) controllers. The controller design uses the linear time invariant (LTI) state space representation of the nonlinear model of the plant and the diagonal closed-loop transfer matrix (TM) function to ensure decoupling between inputs. Each element of the obtained MIMO controller could be either a transfer function (TF) or ...

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I want to form a MIMO state-space system from SIMO Transfer functions. Lets say that the system has 2 inputs (U1 and U2) and 2 states (X1 and X2). If I apply U1 to the LTI system, I get X1 and X2 in a SIMO operation. And, I can extract 2 transfer functions: T11 (X1/U1) and T21 (X2/U1).

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MIMO Transfer Function Models. Pure Gains. MIMO Zero-Pole-Gain Models. State-Space Models. MATLAB® has a rich collection of functions immediately useful to the control engineer or system theorist.

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estimate the transfer function/frequency response function of the model ... 2 State Space Models (MIMO) Satish Nagarajaiah, Prof., CEVE & MEMS, Rice System Identi cation.