sys = Linear() # Define the sizes of the state and the input x = sys.state(3) u = sys.input(2) # Define functions that can't be defined as functions above, i.e. # f(y,x_1,x_2,x_3,...,x_n) = g(y,x_1,x_2,x_3,...,x_n) # The method receive the name of the function, the f(y,x_1,x_2,...,x_n) # function, the g(y,x_1,x_2,...,x_n) function, and a list with tuples # representing the args that call the function (this is a hack, # because the actual matching system is not as good as i want). beta = sys.function( "beta", lambda y,x: l * sin(y) - 4*r, # f(y, x_1, x_2, x_3. ... , x_n) lambda y,x: 2 * x * cos(y), # g(y, x_1, x_2, x_3, ... , x_n) [(x[0],)] ) # State function sys.f(Matrix( [x[1], 9.81 - 2 * T(rho(L(beta(x[0])),x[2])) * sin(beta(x[0]))/M_p - k_f * x[1] / M_p, A * r * (rho_e * u[0] - rho(L(beta(x[0])),x[2]) * u[1] ) ]) ) # Output function sys.h(Matrix([x[0]])) # Linearization!!!