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