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The MathWorks - Nonlinear Control Design
Blockset - The Nonlinear Control Design Blockset provides a
time-domain-based optimization approach to system design. This tool,
designed for use with Simulink® block diagrams, automatically tunes
parameters based on user-defined time-domain performance constraints.
MathWorks Instrument Control Toolbox
 - Provides
features for communicating with data acquisition devices and
instruments, such as spectrum analyzers, oscilloscopes, and function
generators. Support is provided for GPIB (IEEE-488, HPIB) and VISA
communication protocols. You can generate data in MATLAB to send out to
an instrument or read data into MATLAB for analysis and visualization.
MathWorks Model Predictive Control Toolbox
- The Model
Predictive Control Toolbox is a complete set of tools for implementing
model predictive control strategies. These techniques were developed to
address the practical issues associated with the control of large,
multivariable processes where there are constraints on the manipulated
and controlled variables. Model predictive control methods are typically
used in chemical engineering and other continuous process control
industries.
System Identification M-files (5.x)
 - System
identification m-files in the MATLAB Central File Exchange.
Control System M-files (5.x) - User contributed control
system m-files in the MATLAB Central File Exchange.
Eigenstructure Assignment Toolbox - The Eigenstructure
Assignment Toolbox has been specially written to enable control system
designers to have flexibility in the choice of design strategy, whilst
at the same time providing an opportunity for a tutorial introduction to
eigenstructure assignment. This toolbox enables eigenstructure
assignment for continuous and discrete linear time-invariant state-space
systems to be achieved with MATLAB using many of the methods and
algorithms developed in recent years.
MathWorks Control System Toolbox - The Control System
Toolbox is a collection of MATLAB functions for modeling, analyzing, and
designing automatic control systems. The functions in this Toolbox
implement mainstream classical and modern control techniques. With the
Control System Toolbox, you can analyze and simulate both
continuous-time and discrete-time linear dynamic systems. The graphical
user interfaces allow you to quickly compute and graph time responses,
frequency responses, and root-locus diagrams.
MathWorks LMI Control Toolbox - The LMI (linear matrix
inequality) Control Toolbox provides a fully integrated general purpose
environment for specifying and solving LMI problems. Its powerful and
user-friendly design allows you to develop your own customized tools and
applications. While the Toolbox's emphasis is on control design, its LMI
capabilities make it useful anywhere LMI techniques are applicable.
MathWorks Mu-Analysis and Synthesis Toolbox
- The µ-Analysis
and Synthesis Toolbox contains functions for performing robust control
design using H optimal control and the structured singular value, µ.
Version 3 features a GUI that aids in the manipulation of block
structures for the design of H controllers using approximate µ-synthesis
with automatic D-K interations.
MathWorks Model Based Calibration Toolbox
- The
Model-Based Calibration Toolbox provides design tools for the
calibration of powertrain systems. The toolbox is built on the
high-performance technical computing environment of MATLAB® as well as
the simulation capabilities of Simulink. The Model-Based Calibration
Toolbox reduces dynamometer testing time, increases engineering
productivity, saves calibration time, and has the potential to improve
powertrain performance and reliability.
MathWorks Robust Control Toolbox - The Robust Control
Toolbox provides tools for the design and analysis of multivariable
control systems where robustness is a concern. This includes systems
where there may be modeling errors, dynamics that are not completely
known, or parameters that can vary during the lifespan of the product.
The powerful algorithms in this toolbox allow you to perform complex
calculations while considering a number of parameter variations.
MathWorks System Identification Toolbox
- The System
Identification Toolbox provides tools for creating mathematical models
of dynamic systems based on observed input/output data. The Toolbox
features a flexible graphical user
interface that aids in the organization of
data and models. The identification techniques provided with this
Toolbox are useful for applications ranging from control system design
and signal processing to time-series analysis and vibration analysis.
The KALMTOOL Toolbox - The KALMTOOL toolbox -
State estimation for nonlinear systems. The toolbox contains functions
for extended Kalman filtering and for two new derivative-free state
estimators.
System Identification M-files (4.2)
Control System M-files (4.2)
Toolbox for Parametric Robust Control - If you are looking for
a CACSD tool for linear parameter varying
(LPV) systems, then you are at the right place. PARADISE is a toolbox
based on Matlab. It is a flexible and efficient tool for the design and
analysis of robust control systems: Parametric models can be specified
using Simulink. A closed loop symbolic representation of the control
system will be generated automatically using symbolic computation. The
parameter space approach and various derivatives can be applied to this
parametric model. Graphical user interfaces guide you through design and
analysis.
CTM Control Tutorials for Matlab - There
are many different toolboxes available which extend the basic functions
of Matlab into different application areas;
in these tutorials, we will make extensive use of the Control Systems
Toolbox. Matlab is supported on Unix, Macintosh, and Windows
environments; a student version of Matlab is available for personal
computers.
Defining Transfer Functions in Matlab -
Tutorial how to define transfer functions in both the polynomial form
and Linear Time Invariant (LTI) System Object.
ELEC440 MATLAB resources - A set of M-files
have been developed by Dorf and Bishop to supplement their textbook
Modern Control Systems, 7th edition. The complete collection of these
short scripts is available for cutting-and-pasting into the MATLAB
command line.
Ezera toolbox - EZera is a gui set of
routines to easily create a state space realization of an LTI system
from a set of measured frequency response functions (frfs). The method
is based on the Eigenstructure Realization Algorithm (ERA). Requires
signal processing toolbox.
Introduction to Control System Toolbox - This free text is an
easy-to-use tutorial to MATLAB's Control System Toolbox, leading you
through all of the important tools for model definition and system
analysis and design. The text is self-instructive: You are asked to
perform a number of simple tasks through which you will learn to master
this toolbox, and the expected responses are even shown in the text.
MATLAB-Hysys interface. - A toolbox for
using Matlab as an activeX/COM controller for Hysys.
PolePack - In this Package we solve the
Pole Placement problem associated with several Dynamic systems. More
specifically we solve the Pole Placement problem for Multi and
Single-input, Descriptor and nonDescriptor systems using State and
Output Feedback. The Eigenstructure Assignment problem is also solved
for Descriptor Systems using State Feedback. There are also programs
that compute Controllability forms for some of the above systems as well
as the Distances from the nearest uncontrollable systems. A readme.txt
and a demo.m file may also be found in the package.
Polynomial Toolbox - The Polynomial Toolbox
is the MATLAB® toolbox for polynomials, polynomial matrices and their
applications in systems, signals and control. It features over 222
macros for polynomials and polynomial matrices, objects, overloaded
operations, functions, equation solvers, GUI, graphics, new generation
of numerical algorithms: easy, fast, reliable, system and signal models
based on polynomial matrix fractions, analysis and design tools for
control and filters, classical, optimal and robust design.
RIOTS: The Most Powerful Optimal Control
Problem Solver - RIOTS is a group of programs and utilities, written
mostly in C and designed as a toolbox for Matlab, that provides an
interactive environment for solving a very broad class of finite-horizon
optimal multi-variable control problems. This class includes problems
with: * Lagrange, Bolza and Mayer type
objective functions * Linear or Nonlinear dynamics * Min-Max objective
functions * Free final time problems * Variable initial conditions *
Endpoint equality and inequality constraints * Trajectory inequality
constraints on the states and controls * Simple bounds on the controls
and free initial conditions
Robot Manipulator Toolbox - Currently there are 3
matlab toolboxes for robotics * CorkeTools:
Peter Corke's toolbox (see documents listed below) * BrunoTools: Matlab
code supplied by the textbook authors. * 4014Tools: A couple of routines
from last year's robotics unit. All of these toolboxes should appear
automatically when you start up MATLAB. (Type help when you enter
matlab). The help submenus (eg help CorkeTools) should list the
functions in each toolbox.
Robotics Toolbox - This toolbox provides
many functions that are useful in robotics such as kinematics, dynamics,
and trajectory generation. The toolbox is useful for simulation as well
as analyzing results from experiments with real robots. The toolbox is
based on a very general method of representing the kinematics and
dynamics of serial-link manipulators and models are provided for well
known robots such as the Puma 560 and the Stanford arm.
Stability Test of Zeros in Sampled Systems
- This software computes the sampling period when a continuous time
system is discretized by a sampler and zero-order hold. |
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