simulink_stability

simulink_stability - Simulink Stability Analysis 1 2 3...

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Simulink Stability Analysis 1. Computing steady-state solutions 2. Constructing linearized models 3. Biochemical reactor example
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Computing Steady-State Solutions Matlab function trim – finds steady state solutions for a Simulink system >> [x,u,y,dx]=trim(sys,x0,u0) » Attempts to find values for x, u and y that set the state derivatives, dx, of the S-function sys to zero using a constrained optimization technique. » Sets the initial starting guesses for x and u to x0 and u0, respectively.
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Computing Linearized Models Matlab function linearize – obtains a linear model from a Simulink model >> linsys = linearize(sys,sys_io) » Takes a Simulink model, sys, and an I/O object, sys_io, as inputs and returns a linear state-space model, linsys. The linearization I/O object is created with the function linio. >> sys_io=linio(blockname,portnum,type) » Creates a linearization I/O object for the signal that originates from the outport with port number, portnum, of the type given by type of the block,
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simulink_stability - Simulink Stability Analysis 1 2 3...

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