A) Solve partial differential equations B) Compute the area under a curve C) Calculate eigenvalues of matrices D) Analyze the dynamics of linear time-invariant systems
A) Output of the system when the input is an impulse function B) Application of convolution theorem C) Stability analysis of the system D) Output of the system when the input is a sinusoidal function
A) Output response to external disturbances B) Ability to steer the system to any desired state C) Effect of initial conditions on the system D) Analysis of system stability
A) Analyzing frequency response B) Computing state-space representation C) Determining stability of a closed-loop system D) Solving differential equations
A) Evaluating system performance using simulation B) Solving differential equations analytically C) Optimizing controller parameters D) Determining the mathematical model of a system from input-output data
A) Assesses the system observability B) Solves for the system poles C) Computes the Laplace transform of the system D) Determines if all states of the system are controllable
A) Output behavior of a system to input signals B) Eigenvalues of the system matrix C) Controllability matrix elements D) Steady-state characteristics
A) Captures all system dynamics in a compact form B) Provides direct transfer function computation C) Requires fewer computational resources D) Limits analysis to linear systems only
A) Determining system controllability B) Minimizing steady-state errors C) Eliminating system disturbances D) Adjusting system pole locations to achieve desired performance
A) Time constant of the system B) Phase shift between input and output signals C) Amplification factor between input and output D) Damping ratio of the system
A) Stability analysis under various disturbances B) Frequency domain behavior of the system C) Control input requirements for desired state transitions D) Ability to determine the internal state of a system from its outputs |