def P(self, value):
""" covariance matrix"""
self._P = setter_scalar(value, self.dim_x)
self._P1_2 = cholesky(self._P, lower=True)
def P(self, value):
self._P = setter_scalar(value, self.dim_x)
self._P1_2 = cholesky(self._P, lower=True)
def Q(self, value):
self._Q = setter_scalar(value, self.dim_x)
def Q(self, value):
""" Process uncertainty matrix"""
self._Q = setter_scalar(value, self.dim_x)
def R(self, value):
""" measurement uncertainty"""
self._R = setter_scalar(value, self.dim_z)
def P(self, value):
self._P = setter_scalar(value, self.dim_x)
def W(self, value):
self._W = setter_scalar(value, self.dim_x)
def R_inv(self, value):
self._R_inv = setter_scalar(value, self.dim_z)
def P_inv(self, value):
self._P_inv = setter_scalar(value, self.dim_x)
def R(self, value):
""" measurement uncertainty"""
self._R = setter_scalar(value, self.dim_z)
self._R1_2 = cholesky(self._R, lower=True)
def P_inv(self, value):
self._P_inv = setter_scalar(value, self.dim_x)
def P(self, value):
""" covariance matrix"""
self._P = setter_scalar(value, self.dim_x)
self._P1_2 = cholesky(self._P, lower=True)
def Q(self, value):
""" Process uncertainty"""
self._Q = setter_scalar(value, self.dim_x)
self._Q1_2 = cholesky(self._Q, lower=True)
def R(self, value):
""" measurement uncertainty"""
self._R = setter_scalar(value, self.dim_z)
self._R1_2 = cholesky(self._R, lower=True)
def Q(self, value):
""" Process uncertainty matrix"""
self._Q = setter_scalar(value, self.dim_x)
def R_inv(self, value):
self._R_inv = setter_scalar(value, self.dim_z)
def P(self, value):
""" state covariance matrix"""
self._P = setter_scalar(value, self.dim_x)
def R(self, value):
self._R = setter_scalar(value, self.dim_z)
def V(self, value):
self._V = setter_scalar(value, self.dim_z)
self._V_inv = linalg.inv(self.V)
def Q(self, value):
self._Q = setter_scalar(value, self.dim_x)
self._Q1_2 = cholesky(self._Q, lower=True)
def Q(self, value):
self._Q = setter_scalar(value, self.dim_x)
def P(self, value):
self._P = setter_scalar(value, self.dim_x)
self._P1_2 = cholesky(self._P, lower=True)
def P(self, value):
""" state covariance matrix"""
self._P = setter_scalar(value, self.dim_x)
def R(self, value):
self._R = setter_scalar(value, self.dim_z)
self._R1_2 = cholesky(self._R, lower=True)
def Q(self, value):
self._Q = setter_scalar(value, self.dim_x)
self._Q1_2 = cholesky (self._Q, lower=True)
def R(self, value):
""" measurement uncertainty"""
self._R = setter_scalar(value, self.dim_z)
def R(self, value):
self._R = setter_scalar(value, self.dim_z)
self._R1_2 = cholesky (self._R, lower=True)
def R(self, value):
self._R = setter_scalar(value, self.dim_z)
def P(self, value):
self._P = setter_scalar(value, self.dim_x)
def Q(self, value):
""" Process uncertainty"""
self._Q = setter_scalar(value, self.dim_x)
self._Q1_2 = cholesky(self._Q, lower=True)
