Integrated Control Systems Design
Mathematica 8 provides an extensive suite of built-in functionality to carry out analysis, design, and simulation of continuous- and discrete-time control systems with both classical and modern techniques. Mathematica's powerful symbolic-numeric computation engine facilitates the use of analytical solutions to study relationships between design elements and gives valuable insight into the behavior of complex control systems. With any-precision numerics, automatic algorithm selection, and advanced visualizations, Mathematica 8 is ideal for building and analyzing control systems, documenting design decisions, and interactively testing controllers—all from a single platform.
- Functions to build state-space and transfer-function models in natural form and easy conversion from one form to another.
- Construction of linearized state-space models of systems described by differential or difference equations.
- Conversion between continuous-time and discrete-time models using a wide selection of algorithms.
- Model connections and manipulations, such as selecting or deleting subparts, cascading a set of systems, constructing interconnections of subsystems, and more.
- Collection of frequency response tools like Bode plot, Nyquist plot, Nichols plot, and singular-value plot to aid in system analysis and design.
- Ability to analyze state-space models and convert between different realizations, including Kalman, Jordan, balanced, and other forms.
- Broad selection of feedback design algorithms such as robust pole-assignment and linear-quadratic optimal control to improve system performance.
- Simulation functions to determine state and output responses of open- and closed-loop systems.
- Built-in capability to solve Riccati and Lyapunov equations.