Simulink Control Design™ - MathWorks
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Batch Linearization
- “What Is Batch Linearization?” on page 3-2
- “Choose Batch Linearization Methods” on page 3-5
- “Batch Linearization Efficiency When You Vary Parameter Values” on page 3-10
- “Mark Signals of Interest for Batch Linearization” on page 3-13
- “Batch Linearize Model for Parameter Variations at Single Operating Point”
on page 3-20
- “Batch Linearize Model at Multiple Operating Points Derived from Parameter
Variations” on page 3-25
- “Batch Linearize Model at Multiple Operating Points Using linearize Command”
on page 3-28
- “Vary Parameter Values and Obtain Multiple Transfer Functions” on page 3-32
- “Vary Operating Points and Obtain Multiple Transfer Functions Using slLinearizer
Interface” on page 3-41
- “Analyze Command-Line Batch Linearization Results Using Response Plots”
on page 3-48
- “Analyze Batch Linearization Results in Linear Analysis Tool” on page 3-55
- “Specify Parameter Samples for Batch Linearization” on page 3-62
- “Batch Linearize Model for Parameter Value Variations Using Linear Analysis Tool”
on page 3-75
- “More Efficient Batch Linearization Varying Parameters” on page 3-90
- “Batch Linearization to Obtain Multiple Transfer Functions for Varied Parameter
Values” on page 3-94
- “Validate Batch Linearization Results” on page 3-102
- “Approximating Nonlinear Behavior Using an Array of LTI Systems” on page 3-103
- “LPV Approximation of a Boost Converter Model” on page 3-129
- “Linearization of an Engine Speed Model” on page 3-143
- “Improve Linear Analysis Performance” on page 3-148
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