Control System Professional Products
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Control System Professional
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Features

Time-Domain Response Analyses

  • Provides symbolic analysis capabilities for solving state equations
  • Simulates system behavior numerically
  • Includes step, impulse, and ramp response-function examples

Collection of Classical Methods

  • Handles arbitrary transfer functions and rational polynomial transfer functions with frequency response plotting routines
  • Generates Bode, Nyquist, and Nichols plots
  • Reduces complexity for MIMO systems with singular value plot
  • Plots and animates the root loci, providing information on their direction and evolution

Wide Range of System Interconnections

  • Includes elementary serial (cascade), parallel, and feedback interconnections
  • Constructs arbitrary complex composite systems from building blocks

Controllability and Observability

  • Determines and computes controllability and observability
  • Computes the controllability and observability matrices and Gramians
  • Solves the continuous and discrete matrix Lyapunov equations
  • Computes the dual to the input system

Realizations Construction and Conversion

  • Selects controllable and observable subsystems; finds the minimal realizations
  • Computes the Kalman and Jordan canonical forms
  • Constructs internally balanced realizations
  • Cancels common zero-pole pairs in transfer functions
  • Converts between equivalent realizations with similarity transforms

Feedback Control Systems Design

  • Computes the feedback for the eigenvalue assignment using Ackermann's formula or the robust algorithm
  • Finds the estimator for state reconstruction

Optimal Control Systems Design

  • Designs the optimal feedback for linear system and quadratic cost functions (i.e., solves continuous and discrete linear-quadratic optimal control problems)
  • Finds the optimal solution to the output regulator problem
  • Solves the continuous and discrete algebraic Riccati equations
  • Finds the discrete equivalent to the continuous regulator
  • Finds the Kalman estimator and filter for stochastic systems

Nonlinear Control Systems

  • Provides a linearization tool for constructing linear models of nonlinear systems
  • Makes rational polynomial approximations of nonlinear systems

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