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