import control as ct
ct.care?
Signature: ct.care(A, B, Q, R=None, S=None, E=None) Docstring: (X,L,G) = care(A,B,Q,R=None) solves the continuous-time algebraic Riccati equation :math:`A^T X + X A - X B R^{-1} B^T X + Q = 0` where A and Q are square matrices of the same dimension. Further, Q and R are a symmetric matrices. If R is None, it is set to the identity matrix. The function returns the solution X, the gain matrix G = B^T X and the closed loop eigenvalues L, i.e., the eigenvalues of A - B G. (X,L,G) = care(A,B,Q,R,S,E) solves the generalized continuous-time algebraic Riccati equation :math:`A^T X E + E^T X A - (E^T X B + S) R^{-1} (B^T X E + S^T) + Q = 0` where A, Q and E are square matrices of the same dimension. Further, Q and R are symmetric matrices. If R is None, it is set to the identity matrix. The function returns the solution X, the gain matrix G = R^-1 (B^T X E + S^T) and the closed loop eigenvalues L, i.e., the eigenvalues of A - B G , E. File: ~/anaconda3/envs/kontrola/lib/python3.7/site-packages/control/mateqn.py Type: function
ct.h2syn?
Signature: ct.h2syn(P, nmeas, ncon) Docstring: H_2 control synthesis for plant P. Parameters ---------- P: partitioned lti plant (State-space sys) nmeas: number of measurements (input to controller) ncon: number of control inputs (output from controller) Returns ------- K: controller to stabilize P (State-space sys) Raises ------ ImportError if slycot routine sb10hd is not loaded See Also -------- StateSpace Examples -------- >>> K = h2syn(P,nmeas,ncon) File: ~/anaconda3/envs/kontrola/lib/python3.7/site-packages/control/robust.py Type: function
ct.StateSpace.feedback?
Signature: ct.StateSpace.feedback(self, other=1, sign=-1) Docstring: Feedback interconnection between two LTI systems. File: ~/anaconda3/envs/kontrola/lib/python3.7/site-packages/control/statesp.py Type: function
#od verzije 0.8.2
ct.StateSpace.lft?
Signature: ct.StateSpace.lft(self, other, nu=-1, ny=-1) Docstring: Return the Linear Fractional Transformation. A definition of the LFT operator can be found in Appendix A.7, page 512 in the 2nd Edition, Multivariable Feedback Control by Sigurd Skogestad. An alternative definition can be found here: https://www.mathworks.com/help/control/ref/lft.html Parameters ---------- other: LTI The lower LTI system ny: int, optional Dimension of (plant) measurement output. nu: int, optional Dimension of (plant) control input. File: ~/anaconda3/envs/kontrola/lib/python3.7/site-packages/control/statesp.py Type: function
ct.__version__
'0.8.2'