We want the controllability matrix C of dimension n by N to have rank N when N <= n
When N > n, the system of equations CU = zf has multiple solutions for U (control signal). Then C should have rank n.
U = [u0 u1 .... uN-1]
Consider a (continuous-time) linear system x=Ax + Bu. We introduce a time discretization tk-kAT, ...
1 1 -2 Given the LTI system -Ax Bu where A3 3 2and B0 a) Check the controllability using i) the controllability matrix, and ii) the Hautus-Rosenbrock test. b) Identify the controllable and uncontrollable subspaces, and convert the system to a Kalman con- 0 trollable canonical form c) Suppose that we start from the initial state z(0) (1,1, 1)T. Is there a control u(t) that drives the state to (1(3,-1,1)7 at some time t? Is there a control u(t) that...
Problem 11: Discretization of a Continuous-Time Filter Consider the continuous-time system with transfer function Hc(s) A discrete-time approximation to the system using the [16, -8 two's complement representation scheme is to be designed (A) Using Tustin's approximation, determine a discrete-time approximation with transfer function (B) Determine the poles and zeroes of Hd,Tustin(z), noting that the poles are complex conjugates (C) Plot the frequency responses of Hd,Tustin (2) and of Hd.eract (z) Hd, Tustin (z) using the sampling time 1 ms....
x(0) = 0 Consider the system defined by * = AX + Bu Where 1 A = (-6-3) BEG 1 and u=C)=6:10 [2.1(t) (5.1(t). Obtain the response x(t) analytically.
consider the system X(t) = ax(1) + bu(t) with a = 0.001,b= 1,x(0) = 5. (a) Simulate this system using the Matlab command initial (b) Now use u(t) = -kx(t) where k is found as the optimal gain by minimizing the performance index J= ax (1) + ru (1) dt Use q=1, r=1 to simulate this system.
Consider a causal, linear and time-invariant system of continuous time, with an input-output relation that obeys the following linear differential equation: y(t) + 2y(t) = x(t), where x(t) and y(t) stand for the input and output signals of the system, respectively, and the dot symbol over a signal denotes its first-order derivative with respect to time t. Use the Laplace transform to compute the output y(t) of the system, given the initial condition y(0-) = V2 and the input signal...
My question is Problem 11.4-8 Thanks for your help! 11.4-8. Consider the third-order continuous-time LTI system * = Ax + Bu y = Cx 102 with A = To 0 Lo 2 0 -8 07 3 , B = -6] 0 , and C = [1 0 0]. Using Q = [800] 0 6 0, LO 0 4 R = 1.5 (a) First design a LQ controller for this continuous time-system using the MATLAB function iqr. Let the optimal controller...
6. Consider a state-space system x = Ax+ Bu, y = Cx for which the control input is defined as u- -Kx + r, with r(t) a reference input. This results in a closed-loop system x (A-BK)x(t)+ Br(t) = with matrices 2 -2 K=[k1 K2 For this type of controller, ki, k2 ER do not need to be restricted to positive numbers - any real number is fine (a) What is the characteristic equation of the closed-loop system, in terms...
Problem #2 Consider a continuous-time LTI system given by: dy[ + 2y(t) = x(t). Using the Fourier transform, find the output y(t) to each of the following input signals: (a) x(t) = e-'u(t), and (b) x(t) = u(t).
Linear time-invariant sys tems. Consider a SISO, LTI system: t(t) Az(t) + bu(t) y(t) cr (t) with IC x(0) 3o. If the nominal input is a non-zero constant, i.e. if u(t)= u, under what conditions does there exist a constant nominal solu- tion (t) nominal output zero? Under what conditions do there exist constant nom- inal solutions that satisfy g = u for all u? To for some axo? Under what conditions is the corresponding
In a continuous-time system, the laplace transform of the input X(s) and the output Y(s) are related by Y(s) = 2 (s+2)2 +10 a) If x(t) = u(t), find the zero-state response of the system, yzs(1). yzs() = b) Find the zero-input response of the system, yzi(t). Yzi(t) = c) Find the steady-state solution of the system, yss(t). Yss(t) =