A system is represented in state-space form with two state variables and stable eigenvalues, then1.The system order is two.2.The system is stable since eigenvalues lie in left half-plane.3.State variables completely describe system dynamics.4.Output depends only on input and not on state variables.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. Output generally depends on both state and direct input through y=Cx+Du. 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: C - 1, 2 and 3 only Quick Concept Explanation A state-space model represents internal dynamics using a minimal set of state variables. Output generally depends on both state and direct input through y=Cx+Du. 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.The system order is two.Ẋ=Ax+Bu; y=Cx+Du. Statement 2 - Correct.The system is stable since eigenvalues lie in left half-plane.Eigenvalues of A are the state-model characteristic roots. Statement 3 - Correct.State variables completely describe system dynamics.A state-space…
Correct Answer: C - 1, 2 and 3 only
Quick Concept Explanation
A state-space model represents internal dynamics using a minimal set of state variables. Output generally depends on both state and direct input through y=Cx+Du. 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. The system order is two. Ẋ=Ax+Bu; y=Cx+Du.
Statement 2 - Correct. The system is stable since eigenvalues lie in left half-plane. Eigenvalues of A are the state-model characteristic roots.
Statement 3 - Correct. State variables completely describe system dynamics. A state-space model represents internal dynamics using a minimal set of state variables.
Statement 4 - Incorrect. Output depends only on input and not on state variables. State-space output is generally y=Cx+Du and therefore depends on states
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 omits correct statement(s) 1. Option B is incorrect because it omits correct statement(s) 2. Option D is incorrect because it includes incorrect statement(s) 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
System Order Eigenvalues and Output Equation 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 omits correct statement(s) 1. Option B is incorrect because it omits correct statement(s) 2. Option D is incorrect because it includes incorrect statement(s) 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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