Do it with Analytical Computation ( State-Space ABCD Matrix Manipulation)
Do it with Analytical Computation ( State-Space ABCD Matrix Manipulation)
5. For the following state space systems, determine the controllability matrix and the observability matrix O. State whether they are controllable and/or observable based on the matrices. a) * = 12 *_]x+[{]u; y = [1 2]> b) *="2)+ [a] u y = [1 0x 1-1 0 c) i = 0 -2 lo 0 y = [1 0 2]x 0 1 11] 0 x + 1 u -3 10)
Consider the following snapshot of a system: Allocation Max Available ABCD ABCD ABCD P0 1121 2233 2212 P1 2122 5445 P2 3010 3121 P3 1001 2311 P4 2000 3221 Answer the following questions using the banker`s algorithm: a) Illustrate that the system is in a safe state by demonstrating an order in which the processes may complete. Give the Available matrix after completion of each process.
Consider the Markov chain with state space {0, 1,2} and transition matrix(a) Suppose Xo-0. Find the probability that X2 = 2. (b) Find the stationary distribution of the Markov chain
Given that the state is defined as ABCD with no external inputs or outputs and the following sequence of minterms (3, 8, 5, 6, 9, 0, 2, 13, 4, 14, 11, 7, 10, 1, 12, 15), write the equations for the D-Flipflop A, D-Flipflop B, D-Flipflop C, and D-Flipflop D. Please enter the equations in the space provided.
Consider the Markov chain X0,X1,X2,... on the state space S = {0,1} with transition matrix P= (a) Show that the process defined by the pair Zn := (Xn−1,Xn), n ≥ 1, is a Markov chain on the state space consisting of four (pair) states: (0,0),(0,1),(1,0),(1,1). (b) Determine the transition probability matrix for the process Zn, n ≥ 1.
Construct state variable representations (aka state-space model (A, B, C, D)) for the transfer matrix (a) Y(s) = [57** +1] U(s) (One output and one input) (b) Y(s) = U(s) 3 (Two outputs and one input) 1 + s'+s+1
Problem 4. Transfer function to state space form Find the state-space form of the following transfer func- tions (see Section 4.4.1 in the book). This requires zero computation, it just requires you understand how a SISO transfer function relates to the state space form shown in the book. a) = Y(s) _ 68 +3 G(s) s3 + 26s2 5s 50 b) Y(s) + 2s2 + 4s 6 U(s) s3 +12s +12
Consider a Markov chain with state space S = {1,2,3,4} and transition matrix P = where (a) Draw a directed graph that represents the transition matrix for this Markov chain. (b) Compute the following probabilities: P(starting from state 1, the process reaches state 3 in exactly three-time steps); P(starting from state 1, the process reaches state 3 in exactly four-time steps); P(starting from state 1, the process reaches states higher than state 1 in exactly two-time steps). (c) If the...
Let Xn be a Markov chain with state space {0,1,2}, the initial
probability vector and one step transition matrix
a. Compute.
b. Compute.
3. Let X be a Markov chain with state space {0,1,2}, the initial probability vector - and one step transition matrix pt 0 Compute P-1, X, = 0, x, - 2), P(X, = 0) b. Compute P( -1| X, = 2), P(X, = 0 | X, = 1) _ a.
3. Let X be a Markov chain...
Control System.
please answere all the three questions. Please do not use
wikipedia
13. If a state space description of a control system has 4 degrees of freedom on the state vector, what is the size of the system matrix A?. 14. Write down the equation for x in terms of x where x is the state vector and u is the input vector. 15. Now write down the equation for the output y
13. If a state space description...