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