adaptive

2. Problem 9 (pp. 84 of attachment). Use the series-parallel model to design the estimator, derive the adaptive parameter estimation algorithm, and analyze the stability and convergence properties of the method. 9. Consider the nonlinear system i = a, fi(t) + 02/2(x) + b181(x)u + b282(x)u, where u, X e R: S. are known nonlinear functions of x; and a, b, are unknown constant parameters and i = 1. 2. The system is such that a Lo implies .x e Lo. Assuming that r, u can be measured at each time I, design an estimation scheme for estimating the unknown parameters online. 4. in 17.10) when 2. Problem 9 (pp. 84 of attachment). Use the series-parallel model to design the estimator, derive the adaptive parameter estimation algorithm, and analyze the stability and convergence properties of the method. 9. Consider the nonlinear system i = a, fi(t) + 02/2(x) + b181(x)u + b282(x)u, where u, X e R: S. are known nonlinear functions of x; and a, b, are unknown constant parameters and i = 1. 2. The system is such that a Lo implies .x e Lo. Assuming that r, u can be measured at each time I, design an estimation scheme for estimating the unknown parameters online. 4. in 17.10) when