Control

Simulate various controllers, such as one-dimensional, two-dimensional, three-dimensional types

Blocks

1D Controller [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller depending on one scheduling parameter
1D Controller Blend u=(1-L).K1.y+L.K2.y Implement 1-D vector of state-space controllers by linear interpolation of their outputs
1D Observer Form [A(v),B(v),C(v),F(v),H(v)] Implement gain-scheduled state-space controller in observer form depending on one scheduling parameter
1D Self-Conditioned [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller in self-conditioned form depending on one scheduling parameter
2D Controller [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller depending on two scheduling parameters
2D Controller Blend Implement 2-D vector of state-space controllers by linear interpolation of their outputs
2D Observer Form [A(v),B(v),C(v),F(v),H(v)] Implement gain-scheduled state-space controller in observer form depending on two scheduling parameters
2D Self-Conditioned [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller in self-conditioned form depending on two scheduling parameters
3D Controller [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller depending on three scheduling parameters
3D Observer Form [A(v),B(v),C(v),F(v),H(v)] Implement gain-scheduled state-space controller in observer form depending on three scheduling parameters
3D Self-Conditioned [A(v),B(v),C(v),D(v)] Implement gain-scheduled state-space controller in self-conditioned form depending on two scheduling parameters
Gain Scheduled Lead-Lag Implement first-order lead-lag with gain-scheduled coefficients
Interpolate Matrix(x) Return interpolated matrix for given input
Interpolate Matrix(x,y) Return interpolated matrix for given inputs
Interpolate Matrix(x,y,z) Return interpolated matrix for given inputs
Self-Conditioned [A,B,C,D] Implement state-space controller in self-conditioned form
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