Home > MATLAB > Control and Systems Modeling

Control and Systems Modeling

Subcategories:    Related Categories

Root Locus
Learn to use root locus for dynamic system analysis and control design. Resources include videos, tutorials, and documentation covering root locus and other topics.
Control Design Software
MATLAB and Simulink control design software supports each stage of development, from plant modeling to compensator design to automatic code generation.
PID Tuning
PID tuning with MATLAB and Simulink enables you to automatically tune PID controller gains and fine-tune your design interactively. Resources include videos, examples, and documentation.
ECU Calibration
Learn how to calibrate gasoline and diesel engines. Resources include videos and examples covering design of experiments, generating optimal calibrations, and other topics.
Mécatronique
Découvrez comment optimiser grâce à la mécatronique la conception, la modélisation et la simulation de systèmes complexes (vidéos, exemples…)
Rotation Matrix
Learn how to create and implement rotation matrices. Through videos, examples, and documentation you can develop simulations and perform analysis for a variety of applications.
Quaternion
Learn about using quaternions with MATLAB and Simulink for dynamic modeling and simulations. Resources include examples, webinars, and documentation.
Euler Angles
Learn how to use Euler angles for modeling, simulation, and analysis of dynamic systems. From airplanes to biomechanical devices, Euler angles have a wide area of application in dynamic systems.
Free MathWorks CD Offer: Discover A New Way to Design Control Systems  
Discover a new way to design control systems with model based design in Simulink. Sign up to receive a free CD from The MathWorks, containing demos, reference examples, webinars, and more.
Submitted: Oct 27, 2004
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.
Submitted: Jul 02, 1999
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.
Submitted: Jul 02, 1999
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.
Submitted: Aug 28, 2000
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.
Submitted: Jul 02, 1999
Control System M-files  
User contributed control system m-files from the MATLAB Central File Exchange.
Submitted: Apr 18, 2000
Physical Modeling  
Accelerate system-level analysis and control design with accurate and intuitive models of your physical system

The design of engineering systems requires tight integration of many engineering disciplines. To be successful, teams of engineers must collaborate using a wide array of diverse technologies. Software, in the form of control algorithms and signal processing algorithms, plays an ever increasing role in these systems. Developing software alongside the physical system results in optimized designs and the detection of errors earlier in the design process.

Submitted: Mar 19, 2008
Feedback Control Experiments - Experiments for feedback control education and research  
Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
Submitted: Apr 07, 2000
System Identification M-files  
User contributed System identification m-files from the MATLAB Central File Exchange.
Submitted: Apr 18, 2000
HyPneu - Hydraulic and pneumatic co-simulation with Simulink  
HyPneu Fluid Power Design Software allows the designer to develop a graphical representation of a hydraulic and/or pneumatic system and perform dynamic and steady-state simulations. HyPneu processes the information in the graphical schematic, allows the user to assign specific components to the system, runs both steady state and dynamic simulations of the system, and displays the results in a meaningful manner.
Submitted: Jul 01, 2004
ACD - Automatic controller design and automatic robus controller design  
ACD automatically calculates the parameters for well-known compensator types (P, PI, PD, PID) or alternatively for a generalized controller of user-defined order. The controller parameters are optimized with respect to a plant model and additional user options. The desired time-domain closed loop behavior is considered and may be defined graphically by a goal curve for the desired closed loop step response. Additionally, ACD provides the parameters for an ti-Reset-Windup compensator structure to avoid undesired windup effects of compensators with integral parts.
Submitted: Apr 07, 2000
FLOWMASTER - Fluid Systems Simulation  
An interactive fluid flow analysis package that simulates one dimensional flow and heat transfer in pipes, passages, and fittings. Flowmaster can perform a co-simulation analysis with MATLAB and Simulink allowing detailed modeling of the complete fluid and control systems.
Submitted: Jul 12, 2002
MATLAB Tutorial for Process Control  
The purpose of this tutorial is to familiarize the user to working in MATLAB. MATLAB is a high-level programming environment that processes arrays and matrices and provides a powerful graphical environment. A high-level programming environment allows the users to program without worrying about declaring variables, allocating memory, using pointers, and compiling code and other routine tasks, which are associated with languages such as FORTRAN and C. MATLAB also incorporates many built in functions that can perform a variety of complex mathematical routines, from finding eigenvalues to solving differential equations. Additional information can be found by using MATLAB’s extensive help library.
Submitted: Sep 12, 2005
SISISO (Something Instead of SISO)  
SISISO is a MATLAB script which can design a PID controller for a simple linear plant in an innovative manner.
Submitted: Sep 05, 2004
Nonlinear Synthesis Tools  
The Nonlinear Synthesis Tools allow the user to design nonlinear control systems using a simulation model of the dynamic system as the starting point. The simulation models can be built using MATLAB or Simulink. No symbolic manipulations are required for control system synthesis. Using a GUI, the user selects a nonlinear system design method and provides the appropriate design parameters. The software delivers nonlinear controller designs in the form of an M-file or C code. This code can be coupled to the MATLAB/Simulink simulation model to assess the closed-loop performance of the dynamic system.
Submitted: Jan 02, 2001
MATLAB-Hysys interface.  
A toolbox for using MATLAB as an activeX/COM controller for Hysys.
Submitted: May 31, 1999
Multi-Parametric Toolbox  
The Multi-Parametric Toolbox is a MATLAB toolbox primarily focused on multi-parametric linear and quadratic optimization, optimal control of linear and hybrid systems with constraints as well as computational geometry. The algorithms are based on very recent theoretical advances made in respective fields, tuned up for performance and numerical robustness. The toolbox offers a unified interface to numerous state-of-the-art optimization packages and excellent visualization capabilities.
Submitted: Jul 09, 2004
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.
Submitted: Jun 30, 1999
Digital Pendulum Control System - Contemporary integrated system solution of classic Inverted Pendulum control problem  
The 33-005 Pendulum is a contemporary version of the classic control problem. It is large enough to be convincing, durable enough to survive the hazards of a student laboratory, and open enough for design studies. A twin-arm pendulum pivots freely on a small cart running on an elevated two-rail track. Encoders give the angular position of the pendulum and the linear position of the cart software derives velocity and acceleration for both items. A real-time kernel operating under Windows handles interprocess communication.
Submitted: Apr 07, 2000
Experimental Control System Workstations  
Educational Control Products (ECP) provides advanced laboratory equipment for the study of feedback control systems. Each apparatus may be transformed into several dynamically distinct plants so that one system does the work of many. Most systems can be easily reconfigured for simple SISO to complex MIMO operation. A high-speed I/O control board and powerful GUI-driven interface software allow you to efficiently implement virtually any controller and easily maneuver the system through trajectories to characterize performance. Experiments are provided that cover important introductory through intermediate control system principles and include complete instructor solutions. The systems are used for teaching and research in over 400 universities and industrial sites worldwide. They are used extensively in undergraduate control systems laboratories as well as graduate research and industrial motion control training.
Submitted: Jan 02, 2001
Getting Started with Simulink Demo Video  
This video demo gets you started with Simulink. It takes you through many key concepts in building and simulating a model. We will build up a model from scratch while taking you through a number of features of Simulink.
Submitted: Apr 14, 2008
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.
Submitted: Aug 12, 1999
Asymptotic Bode Plots  
A MATLAB GUI that decomposes a transfer function into its constituent poles and zeros, and then displays the asymptotic approximation for each.
Submitted: Dec 10, 2002
dSPACE Control Development System - A total development environment for rapid control prototyping and hardware-in-the-loop simulation  
dSPACE provides a total development environment, offering unmatched flexibility and processing power for rapid control prototyping and hardware-in-the-loop simulation in real time. This environment provides a seamless design flow for real-time systems, utilizing MATLAB for system identification and modeling, Simulink for off-line simulation, and Real-Time-Workshop for automatic C-code generation.
Submitted: Apr 07, 2000
MMLE3 Identification Toolbox - Specialized function for estimation of continuous-time state-space models  
The MMLE3 Identification Toolbox is a MATLAB function to identify the parameters in a continuous linear time-invariant, multi-input/multi-output, state-space system model, using either the maximum likelihood method or the output error method. The primary outputs of the identification process are: parameter values, filtered and unfiltered Cramer-Rao bounds, sensitivities, and geometric dilution of precision (GDOP).
Submitted: Apr 07, 2000
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.
Submitted: Aug 05, 1999
ControlShell, a software development  
ControlShell is an application framework designed explicitly for software development of control and simulation systems. With complex systems, you not only need to do control algorithms and modeling, you also need to write a lot of software. ControlShell deals with intelligent subsystems, wraps legacy code, and easily incorporates complex, custom modules. Its component-based, object-oriented methodology is ideal for intelligent controls and simulation programming.
Submitted: Jan 02, 2001
simulation with simulink  
this is an introduction in arabic for the simulink and how to make the simulation for any systems
Submitted: Nov 20, 2006
Concurrent RT-LAB RLX for RedHawk Linux  
Concurrent Computer Corporation’s RT-LAB RLX allows design engineers to perform complex simulation, rapid prototyping, and hardware-in-the-loop testing on Concurrent iHawk™ Linux®-based real-time multiprocessing systems.
Submitted: Jul 01, 2004
XdTech  
XdTech has in its range both classical and new types of control laboratory experimental systems. These devices can be used as effective and affordable educational tools for learning digital control of unstable systems using MATLAB's Real time Workshop application program.
Submitted: Aug 11, 2003
MARC I Model Navigator - Calibrate and measure ECUs from within Simulink  
MARC I is a universal calibration and measurement tool for electronic control units (ECUs). It uses Simulink models to browse directly within a system overview tree. You can calibrate and measure all predefined parameters with the same look and feel as Simulink.
Submitted: Jul 01, 2004
Multivariate Metamodeling Toolbox  
The Matlab Multivariate Metamodeling toolbox (M3-Toolbox) provides a pluggable, extensible, configurable, flexible and adaptive platform for creating global surrogate models (metamodels) as efficiently as possible. Different model types (neural net, SVM, rational functions,...) are supported as well as different modeling algorithms, sample selection algorithms, model scoring mechanisms as well as distributed sample evaluation.
Submitted: Nov 16, 2006
MPCtools: A toolbox for simulation of MPC controllers in Matlab  
MPCtools is a freely available Matlab/Simulink-based toolbox for simulation of MPC controllers. MPCtools provides easy to use functions to create and simulate basic MPC controllers based on linear state space models. The key features of the toolbox include: - Support for linear state space models for prediction - Quadratic cost function - Linear inequality constraints on states and controls - Observer support for state and disturbance estimation - Integral action by means of disturbance estimation - Two different QP solvers for solving the optimization problem
Submitted: Jun 17, 2007
Applied Fluid Dynamics  
Applied fluid dynamics in sail, wind turbine distilation colomn and ect..
Submitted: Mar 07, 2008
Wiki on Control Systems  
This wiki is on control systems theory and implmentation. I work in the Aerospace industry on Mechnism Controls and previously in Guidance Navigation and Control. My wiki on control systems is an attempt to fill the gap between school and actual implmentation. Examples include heavy use of MATLAB and Simulink.
Submitted: Oct 02, 2008
PID Controller - MATLAB  
Simulink Control Design™ lets you design and analyze control systems. You can automatically tune the gains of PID controllers to meet performance requirements.
Submitted: Apr 08, 2010



  Privacy - Trademarks - Feedback - Terms of Use Copyright The MathWorks, Inc.