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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