Consider the following statements regarding State Variable Analysis:1.State variables define system dynamics completely.2.State-space model can represent MIMO systems.3.Transfer function can always be uniquely obtained from state model.4.State model includes initial conditions.Which of the above statements is/are correct?
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A state-space model represents internal dynamics using a minimal set of state variables. It naturally handles MIMO systems and incorporates initial conditions. Key relation: ẋ=Ax+Bu; y=Cx+Du.
Exam focus: Eigenvalues of A are the state-model characteristic roots. Common trap: Output is not generally independent of state variables.
Formula / Key Relation
ẋ=Ax+Bu; y=Cx+Du.
Detailed Explanation
Correct Answer: D - 1, 2 and 4 only Quick Concept Explanation A state-space model represents internal dynamics using a minimal set of state variables. It naturally handles MIMO systems and incorporates initial conditions. Key relation: ẋ=Ax+Bu; y=Cx+Du.Exam focus: Eigenvalues of A are the state-model characteristic roots. Common trap: Output is not generally independent of state variables. Statement-wise Verification Statement 1 - Correct.State variables define system dynamics completely.A state-space model represents internal dynamics using a minimal set of state variables. Statement 2 - Correct.State-space model can represent MIMO systems.A state-space model represents internal dynamics using a minimal set of state…
Correct Answer: D - 1, 2 and 4 only
Quick Concept Explanation
A state-space model represents internal dynamics using a minimal set of state variables. It naturally handles MIMO systems and incorporates initial conditions. Key relation: ẋ=Ax+Bu; y=Cx+Du.
Exam focus: Eigenvalues of A are the state-model characteristic roots. Common trap: Output is not generally independent of state variables.
Statement-wise Verification
Statement 1 - Correct. State variables define system dynamics completely. A state-space model represents internal dynamics using a minimal set of state variables.
Statement 2 - Correct. State-space model can represent MIMO systems. A state-space model represents internal dynamics using a minimal set of state variables.
Statement 3 - Incorrect. Transfer function can always be uniquely obtained from state model. A transfer function is an input-output description; different state realizations can represent the same transfer function, and internal-state information is not unique from the transfer function
Statement 4 - Correct. State model includes initial conditions. Eigenvalues of A are the state-model characteristic roots.
Core Concept
A state-space model represents internal dynamics using a minimal set of state variables. It naturally handles MIMO systems and incorporates initial conditions. Stability of a continuous-time LTI model is tied to eigenvalues of A: strictly negative real parts imply asymptotic stability. Output generally depends on both state and direct input through y=Cx+Du.
Formula / Key Relationship
ẋ=Ax+Bu; y=Cx+Du.
Why the Other Options Are Wrong
Option A is incorrect because it includes incorrect statement(s) 3. Option B is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 2, 4. Option C is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 1, 4.
Exam Shortcut / Approach
Eigenvalues of A are the state-model characteristic roots.
Common Mistake
Output is not generally independent of state variables.
Quick Revision
State Model MIMO and Initial Conditions is linked with State Variables, State-Space Analysis and Control Systems. Eigenvalues of A are the state-model characteristic roots.
Quick Trick
Eigenvalues of A are the state-model characteristic roots.
Why Other Options Are Wrong
Option A is incorrect because it includes incorrect statement(s) 3. Option B is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 2, 4. Option C is incorrect because it includes incorrect statement(s) 3 and omits correct statement(s) 1, 4.
Common Mistake
Output is not generally independent of state variables.
Exam Tip
Eigenvalues of A are the state-model characteristic roots.
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