Use the model of the missile airframe presented in a number of published papers (References ,  and ) on the use of advanced control methods applied to missile autopilot design. The
Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on
Simulate the working of an automatic climate control system in a car using Simulink® and Stateflow®. You can enter a temperature value you would like the air in the car to reach by double
Use an extended Kalman filter with the MATLAB® Function block in Simulink® to estimate an aircraft's position from radar measurements. The filter implementation is found in the MATLAB
Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink model with its representation of the transmission control logic. Simulink provides a powerful
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
Use the Control System Toolbox™ and Simulink® Control Design™ to interact with Simulink to design a digital pitch control for the aircraft. In this example, we will design the controller to
Use anti-windup schemes to prevent integration wind-up in PID controllers when the actuators are saturated. We use the PID Controller block in Simulink® which features two built-in
Simulate the electrical system of a vehicle using Simulink® and Simscape™ Power Systems™.
Model a simplified half-car model that includes an independent front and rear vertical suspension. The model also includes body pitch and bounce degrees of freedom. The example provides a
Interface the vehicle climate control system with a model of the electrical system to examine the loading effects of the climate control system on the entire electrical system of the car.
Model a simple model for an Anti-Lock Braking System (ABS). It simulates the dynamic behavior of a vehicle under hard braking conditions. The model represents a single wheel, which may be
Simulate a simple closed-loop control algorithm in Simulink® and how to run it on LEGO® MINDSTORMS® EV3™ hardware.
Model six degrees of freedom motion in Simulink®. You can switch between using Euler Angles and Quaternions to model the equations of motion, using the Variant Subsystem block's "Variant >
Enhance a version of the open-loop engine model (sldemo_engine - described in "Modeling Engine Timing Using Triggered Subsystems" example). This model, sldemo_enginewc, contains a
How clients, in this case three computers, can send jobs to a server, a printer, and receive status from that server. This example highlights how Simulink Functions can be called from
How the Simulink® Project's checks support upgrading from MDL format model files to SLX format. The default file format for Simulink models in R2012b and subsequent releases is SLX.
Model a four-cylinder spark ignition internal combustion engine from the throttle to the crankshaft output. We used well-defined physical principles supplemented, where appropriate,
Use Raspberry Pi® hardware to interface to a motion sensor and control an external LED.
How one of the engineers who worked on the Apollo Lunar Module digital autopilot design team would have done it using Simulink® if it had been available in 1961.
Use data dictionaries to manage the data for a fuel rate control system designed using Simulink® and Stateflow®. To familiarize yourself with the fuel rate control model see
Model flight control for the longitudinal motion of an aircraft. First order linear approximations of the aircraft and actuator behavior are connected to an analog flight control design
Generate a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving target that is moving through a structured background
The model of a permanent magnet DC motor. The mode logic and dynamics of the DC motor are both modeled using Stateflow.
This model shows a simple use of Simulink functions in Stateflow. Starting from R2008b, you can use Simulink function call subsystems in Stateflow just like other function objects such as
A model that demonstrates a basic temperature control simulation that allows you to enter the temperatures and the power of the air conditioner that you want to use.
Model a popular toy called "Newton's cradle" which consists of a row of seven identical balls which are hung from a common height. At rest they are arranged such that they just touch each other.
Models an intersection of two 1-way roads controlled by a Stateflow® traffic light system. The Stateflow® chart uses active state outputs and a mask. The behavior of the traffic lights is
The use of flow charts in a Stateflow® C chart to create C statements such as the FOR loop. This particular example shows how you can create a simple FOR Loop that defines an array variable. The
How a WHILE loop and a DO-WHILE can be implemented in Stateflow® in order to create a variable array. The equivalent statements in C-Code are as follows:
This model shows how you can schedule a Simulink algorithm using Stateflow.
This model shows a re-visit of the classic tetris game which has been shipping with Stateflow® to use some of the more modern programming paradigms and features. It shows the use of the
The use of flow charts in Stateflow® to create C or MATLAB® statements such as the IF - ELSE statement. This particular example shows how you can create a simple IF - ELSE statement in Stateflow.
The example shows the ability of Stateflow® to accept matrix input signals from Simulink® and also output matrix signals to Simulink. In this particular example, we are multiplying a [2x2]
The use of Simulink® and Stateflow® to model a hydraulic servomechanism controlled by a pulse-width modulated (PWM) solenoid. This type of motion control system is used in industrial,
This model shows how you can design switching controllers by combining the power of Stateflow and Simulink functions.
The State Transition Matrix view for a simple model of a debouncing logic that uses State Transition Tables in Stateflow® (new in R2012b).
Design a fault detection, isolation, and recovery (FDIR) application for a pair of aircraft elevators with redundant actuators. The fault detection control logic used in this model is the
Use Stateflow® to model a bang-bang control system that regulates the temperature of a boiler. The boiler dynamics are modeled in Simulink® in a boiler plant model.
Model a home alarm system including motion sensors. Like in modern alarm systems, if the system detects an intrusion, it allows a certain (small) time for the alarm to be disabled, otherwise
This model shows the basic semantics of absolute time temporal logic in Stateflow®.
This model shows a method for measuring the frequency response of a continuous time system (plant) using Stateflow®. It illustrates several features of Stateflow® such as the
This model shows how to define continuous time state variables and their derivatives in Stateflow®. The dynamics of a bouncing ball can be defined in terms of two continuous time variables,
The concept of a graphical function and how it can be used to simplify your Stateflow® model. In this example, we pass two inputs in the Stateflow chart. The first input is a sine wave with
The advantage of using the EVERY function to call a graphical function when certain events occur. Notice how complicated it becomes when you try to accomplish the same behavior without the
Model a launch abort system. An aircraft is launched into outer space. If an anomaly or fault occurs during the launch, the operation is aborted, and the aircraft is sent back down to Earth.
Phasor simulation of a 9-MW wind farm using Induction Generators (IG) driven by variable-pitch wind turbines.
Model a lithium cell using the Simscape™ language to implement the elements of an equivalent circuit model with two RC branches. For the defining equations and their validation, see T.
A detailed model of a 100-kW array connected to a 25-kV grid via a DC-DC boost converter and a three-phase three-level VSC.
The measurement distortion due to saturation of a current transformer (CT).
The simulation of an H-bridge used to generate a chopped voltage and to control the speed of a DC motor.
An average model of a 100-kW array connected to a 25-kV grid via a DC-DC boost converter and a three-phase three-level VSC.
The Machine Load Flow tool of Powergui block to initialize an induction motor/diesel-generator system.
A current-controlled 60-kW 6/4 SRM drive using the SRM specific model based on measured magnetization curves. 8/6 and 10/8 preset models are also presented with same control strategy.
Energy management systems for a fuel cell hybrid electric source.
The operation of two models of on load tap changer (OLTC) regulating transformer.
An ideal AC transformer plus full-wave bridge rectifier. It converts 120 volts AC to 12 volts DC. The transformer has a turns ratio of 14, stepping the supply down to 8.6 volts rms, i.e.
How the Simscape™ Foundation Library Asynchronous Sample & Hold block can be used to build components with more complex behaviors. The model implements a controllable PWM voltage source
An aircraft electrical power generation and distribution system. The AC power frequency is variable and depends of the engine speed
The operation of a typical transformerless photovoltaic (PV) residential system connected to the electrical utility grid.
Models a vapor-compression refrigeration cycle using two-phase fluid components. The compressor drives the R-134a refrigerant through a condenser, an expansion valve, and an
Phasor simulation of a 9 MW wind farm using Doubly-Fed Induction Generator (DFIG) driven by a wind turbine.
Use functions which analyze Simscape™ logging data to get harmonic magnitudes, calculate total harmonic distortion percentage and plot harmonic magnitudes. The model to which this
The use of the Three-Phase Transformer Inductance Matrix Type block to model a three-phase core-type saturable transformer. It also shows that using three single-phase transformers to
A detailed model of a 250-kW PV array connected to a 25-kV grid via a three-phase converter.
Model an inverted double pendulum mounted on a sliding cart using Simscape™ Multibody™. It also illustrates the use of a controller to balance the pendulum in the upright position. Make any
This model shows how to use MathWorks® products to address the technical and process challenges of aircraft design using the design of a lightweight aircraft.
Tune a PID controller for plants that cannot be linearized. You use the PID Tuner to identify a plant for a buck converter. Then tune the PID controller using the identified plant.
Estimate the parameters of a multi-domain DC servo motor model constructed using various physical modeling products.
Obtain a Linear Parameter Varying (LPV) approximation of a Simscape Power Systems™ model of a Boost Converter. The LPV representation allows quick analysis of average behavior at various
Use numerical optimization to tuning the controller parameters of a nonlinear system. In this example, we model a CE 152 Magnetic Levitation system where the controller is used to position a
Automatically generate a MATLAB function to solve a Design Optimization problem. You use the Response Optimization tool to define an optimization problem for a hydraulic cylinder design
Use Simulink® Design Optimization™ to optimize the controller of an inverted pendulum. The inverted pendulum is on a cart and the motion of the cart is controlled. The controller's
Use Simulink Control Design, using a drum boiler as an example application. Using the operating point search function, we illustrate model linearization as well as subsequent state
This model shows the simulation of multiple aircraft in formation flight, with emphasis on the necessary requirements and the realized benefits in making the simulation vectorized so that
This document describes how to use the Flight Simulation project template using Simulink® Projects. This template provides a framework for the collaborative development of a flight
Use Simulink® Design Optimization™ to estimate multiple parameters of a model by iterated estimations.
This model shows how to model the Wright Brother's 1903 Flyer modeled in Simulink®, Aerospace Blockset™ and Simulink® 3D Animation™ software. This model simulates the longitudinal motion
Use parallel computing to optimize the time-domain response of a Simulink® model. You use Simulink® Design Optimization™ and Parallel Computing Toolbox™ to tune the gains of a discrete PI
Use Simulink® Design Optimization™ to tune the gains of the PID controller (Kp, Ki, and Kd) and optimize the step response of the plant. To view the results, use the following steps.
Tune multiple compensators (feedback and prefilter) to control a single loop.
This model shows how to model the DeHavilland Beaver using Simulink® and Aerospace Blockset™ software. It also shows how to use a pilot's joystick to fly the DeHavilland Beaver This model has
This model shows how to compute true airspeed from indicated airspeed using the Ideal Airspeed Correction block. The Aerospace Blockset™ blocks are indicated in red.
Trim and linearize an airframe using Simulink® Control Design™ software
Design a PI controller with frequency response estimated from a plant built in Simulink. This is an alternative PID design workflow when the linearized plant model is invalid for PID design
Use Simulink® Design Optimization™ to optimize the temperature control of a heat exchanger around a temperature set-point.
Design an array of PID controllers for a nonlinear plant in Simulink that operates over a wide range of operating points.
Filter a sinusoid with the Overlap-Add and Overlap-Save FFT methods using the Frequency-Domain FIR filter block.
The basic structure of turbo codes, both at the transmitter and receiver ends, and characterizes their performance over a noisy channel using components from the Communications System
This model shows how to simulate a phase-locked loop (PLL) frequency synthesizer. The model multiplies the frequency (synFr) of a reference signal by a constant synN/synM, to produce a
This model shows a satellite link, using the blocks from the Communications System Toolbox™ to simulate the following impairments:
This model shows how to use the SISO Fading Channel block from the Communications System Toolbox™ to simulate multipath Rayleigh and Rician fading channels, which are useful models of
This model shows symbol timing adjustments using interpolation and numerically controlled oscillator (NCO) based control as part of clock recovery in a digital modem as described in the
This model shows the implementation of a QPSK transmitter and receiver. The receiver addresses practical issues in wireless communications, e.g. carrier frequency and phase offset,
This model shows the state-of-the-art channel coding scheme used in the second generation Digital Video Broadcasting standard (DVB-S.2), planned to be deployed by DIRECTV in the United
This model shows an adaptive orthogonal space-time block code (OSTBC) transceiver system over a multiple-input multiple-output (MIMO) channel. The system uses a variable number of
Model analog-to-digital conversion using a sigma-delta algorithm implementation.
This model shows the effects of adjacent and co-channel interference on a PSK modulated signal. The model includes two interferers, Interferer 1 and Interferer 2. The model enables you to
Simulate delay-based and lumped-element transmission lines using blocks in the RF Blockset™ Circuit Envelope library. The example is sequenced to examine circuit envelope and passband
HDL code generation support for the Viterbi Decoder block. It shows how to check, generate, and verify the HDL code you generate from a fixed-point Viterbi Decoder model. This example also
This model shows how to simulate a key multi-discipline design problem from the Aerospace Defense industry sector.
This model shows how to use the Convolutional Encoder and Viterbi Decoder blocks to simulate a tail-biting convolutional code. Terminating the trellis of a convolutional code is a key
This model shows the improvement in BER performance when using log-likelihood ratio (LLR) instead of hard decision demodulation in a convolutionally coded communication link.
This model shows the nonlinear effect of a RF Blockset™ Equivalent Baseband amplifier on a 16-QAM modulated signal.
Use the RTL-SDR radio, with MATLAB® and Simulink®, as a data source for downstream spectrum analysis. You can change the radio's center frequency to tune the radio to a band where a signal is
Use the RF Blockset™ Circuit Envelope library to simulate the sensitivity performance of a direct conversion architecture with the following RF impairments:
Use blocks from the RF Blockset™ Circuit Envelope library to simulate a transmit/receive duplex filter and calculate frequency response curves from a broadband white-noise input. Blocks
This model shows how to simulate a phase-locked fractional-N frequency synthesizer. The model multiplies the frequency synFr of a reference signal by a constant synN+synM, to produce a
Simulate steady-state behavior of a fixed-point digital down converter for GSM (Global System for Mobile) baseband conversions. The example model uses blocks from Simulink® and the DSP
Use the function fixpt_look1_func_plot to find the maximum absolute error for the simple lookup table whose breakpoints are 0, 0.25, and 1. The corresponding Y data points of the lookup
Open up the "Controller" subsystem. Notice that this model uses a Triggered Stateflow® Chart to do the "Enable" and "Setpoint" calculation. It uses a discrete PID Controller to compute the
Demonstrates how to use the Embedded Coder Support Package for STMicroelectronics Discovery Boards to run a Simulink® model on an STMicroelectronics STM32F4-Discovery board or
Generate a cosimulation model in of HDL Coder and integrate the generated HDL code into an HDL Verifier™ workflow. Automation of cosimulation model generation enables seamless
Model a controller and implement it on a Xilinx® Zynq™-7000 All Programmable SoC target. This example is based on a ZedBoard using an Analog Devices motor control FMC board. Note that if you do
Communicate with the FPGA IP core on the Zynq hardware using AXI4®-Lite protocol. AXI4 (Advanced eXtensible Interface 4) is an ARM® standard.
Use the GPIO blocks in the STMicroelectronics STM32F4-Discovery library to control the push-button and the LED's on the STMicroelectronics STM32F4-Discovery board.
Model a three band parametric equalizer algorithm and run it on the ARM® Cortex M based STMicroelectronics® STM32 Discovery boards.
HDL support is provided for Gamma correction in Vision HDL Toolbox™. This example demonstrates the functionality of the pixel-stream Gamma Corrector block and compares the results with
Utilize RAM resources in your FPGA design using HDL Coder™.
Use the Embedded Coder Support Package for ARM Cortex-M Processors to run a Simulink model on an ARM Cortex-M3 emulator provided by QEMU.
Build an LTE compliant OFDM Modulator and Detector for implementation with HDL Coder™, and use LTE System Toolbox™ to verify the HDL implementation model.
Use Embedded Coder Support Package for STMicroelectronics Discovery Boards for code verification and validation using PIL and External mode.
Use code replacement libraries for ARM Cortex-M processors to generate optimized code for the STMicroelectronics STM32F4-Discovery board.
Instantiate multiple top-level synchronous clock input ports in HDL Coder.
This model shows the code generated for a Stateflow chart which uses absolute time temporal logic. Simulate the model. Click on the scope to observe the "pulse" output.
The RSim target was designed to let you run batch simulations at the fastest possible speed. Using variable-step or fixed-step solvers with RSim combined with the use of a tunable parameter
Open up the "Controller" subsystem. Open the Stateflow® chart named "Control" chart inside it. This chart implements the control logic for starting and stopping the conveyer belt motor
This model shows how to integrate user defined function blocks, data types and global variables into generated structured text
This model shows how tunable parameters map to Structured Text by specifying them as Simulink.Parameter objects in MATLAB base workspace.
Use HDL Coder™ to check, generate and verify HDL for a fixed-point CORDIC model implementing sin and cos trigonometric functions using the MATLAB Function Block.
Use Xilinx® System Generator for DSP with HDL Coder™.
This model shows the code generated for a Feedforward PID Controller implemented using Simulink library blocks.
The example model "sldrtex_canio" shows how to transfer data through CAN bus. The model sends data within one computer, from one CAN channel to another. The two CAN channels can be either
The example model "sldrtex_counter" shows how to measure input signal frequency using Simulink Desktop Real-Time™. The measured signal is connected to the counter input of your data
The example model "sldrtex_streamio" shows how to transfer data through TCP communication protocol using ASCII encoding. The model sends data within one computer, from one TCP port to
The example model "sldrtex_controller" shows how to build a simple closed-loop real-time controller using Simulink Desktop Real-Time™. The output of the controlled plant is connected to
The example model "sldrtex_packetio" shows how to transfer data through UDP communication protocol using binary encoding. The model sends data within one computer, from one UDP port to
The example model "sldrtex_siggen" shows how to produce an analog output signal using Simulink Desktop Real-Time™. Because analog output typically requires less configuration and is
The example model "sldrtex_vdp" shows a real-time version of the Simulink® Van der Pol simulation model. This model does not need any external signals, so it does not need any data
The example model "sldrtex_pwmmeasure" shows how to measure PWM signal frequency and duty using Simulink Desktop Real-Time™. The measured signal is connected to gate pins of two counter
The example model "sldrtex_filter" shows a real-time filter built using DSP System Toolbox™ and Simulink Desktop Real-Time™. The unfiltered signal is acquired by the analog input, passed
The example model "sldrtex_canmessage" shows how to transfer data through CAN bus, utilizing the CAN_MESSAGE data type and the CAN Pack and CAN Unpack blocks available in Vehicle Network
The example model "sldrtex_dashboard" shows a real-time model of a water tank controlled by dashboard controls. You can change the inputs to the plant using the knobs and observe the
The example model "sldrtex_profiling" shows how to analyze model execution performance in Simulink Desktop Real-Time™. The example is a multirate multi-tasking model that performs a
Use Simulation Data Inspector (SDI) to log signal data from the real-time application. Use Simulink® external mode to establish a communication channel between your Simulink® block
This model shows how to use a for loop to iterate through a frame one sample at a time when the minimum sample time is the frame completion time. This example requires DSP System Toolbox™.
Do real-time parameter tuning and data logging with Simulink® Real-Time™. After the script builds and downloads the oscillator model, xpcosc, to the target computer, it makes multiple
Do time- and value-equidistant data logging with Simulink® Real-Time™. After the script builds and downloads the oscillator model, xpcosc, to the target computer, it runs the application
Pre- and post-triggering of a signal-triggered Simulink® Real-Time™ host scope. After the script builds and downloads the oscillator model, xpcosc, to the target computer, it adds a scope
Use Simulink® Real-Time™ as a real-time spectrum analyzer. The example uses the model xpcdspspectrum. To examine the design and implementation of the key block, 'Spectrum Scope',
Trace signals using a signal triggered Simulink® Real-Time™ host scope. After the script builds and downloads the oscillator model, xpcosc, to the target computer, it adds a scope of type
Create a standalone user interface running on a Windows computer that interacts with a real-time application using the MATLAB API.
Use an Simulink® Real-Time™ file scope to log signal data to the file system on the target computer. Signals are logged during model execution. At the end of the run, the file is transfered from
Trace signals with an Simulink® Real-Time™ target scope. Target scopes are used to trace or display signals on a video monitor attached to the target computer. After the script builds and
Do freerun signal tracing using an Simulink® Real-Time™ host scope. After the script builds and downloads the oscillator model, xpcosc, to the target computer, it adds a scope of type 'host'
Use Simulink® Design Verifier™ functions to log input signals, create a harness model, generate test cases for missing coverage, merge harness models, and execute test cases.
Use Simulink® Design Verifier™ functions to replace unsupported blocks and to how customize test vector generation for specific requirements.
Verify the seat belt reminder design model referenced in the top block above.
Verify the seat belt reminder design model referenced in the top block above.
How Simulink® Design Verifier™ can extend test cases with additional time steps to efficiently generate complete test suites.
Use Simulink® Design Verifier™ to extend an existing test suite to obtain missing model coverage.
How Simulink® Design Verifier™ can target its analysis to a single subsystem within a continuous-time closed-loop simulation and generate test cases for missing coverage in that
Verify safety properties in a thrust reverser design model.
Model temporal system requirements in a power window controller model for property proving and test case generation using Simulink® Design Verifier™ Temporal Operator blocks.
Find a property violation using Simulink Design Verifier property proving analysis.
Perform a Simulink Design Verifier property proof using a Proof Assumption block.
Use input port minimum and maximum values as analysis constraints by Simulink Design Verifier during both test generation and property proving.
Model temporal system requirements for property proving and test case generation using Simulink® Design Verifier™ Temporal Operator blocks.
Prove properties in a fixed-point cruise control algorithm.
Use Simulink® Design Verifier™ command-line functions to generate test data that incorporates different parameter values.
Generate test cases that achieve complete model coverage for a debouncer.
Generate test cases that satisfy Decision, Condition, and MCDC coverage.
The vr_octavia example shows the benefits of visualization of complex dynamic model in the virtual reality environment. It also shows Simulink® 3D Animation™ 3D off-line animation
Illustrates the possibility to convert generally available Digital Elevation Models into VRML format for use in virtual reality scenes.
Extends the vr_octavia example to show multiple-object scenario visualizations.
The vrcrane_joystick example illustrates how a Simulink® model can interact with a virtual world. The portal crane dynamics is modeled in Simulink and visualized in virtual reality. The
The vrmemb example shows how to use a MATLAB® generated 3-D graphic object with the Simulink® 3D Animation™. The famous membrane was generated by the logo function and saved in the VRML format
Extends the vr_octavia example and shows how to combine virtual reality canvas in one figure with other graphical user interface objects. In this case, three graphs are displayed under the
The vrplanets example shows the dynamic visualization of the first 4 planets of the Solar system, Moon orbiting around Earth and Sun rotating itself. The model uses the real properties of the
Illustrates use of the Simulink Report Generator to verify that a wing flutter suppression system design meets its design requirement. The example exploits the Report Generator's ability
Illustrates the use of the Simulink® 3D Animation™ MATLAB® interface. In a step-by-step tutorial, it shows commands for querying and manipulating virtual world objects. You will learn
The vrmanipul_stereo3d example shows a manipulator in active stereoscopic vision mode. It illustrates the effect of stereo rendering properties and the way how to work with the
The vrbounce example visualizes a ball bouncing from a floor. The ball deforms as it hits the floor keeping the volume of the ball constant. The deformation is achieved by modifying the scale
Illustrates the use of the Simulink® 3D Animation™ with the MATLAB® interface for manipulating complex objects.
The vrpend example illustrates the various ways a dynamic model in Simulink® can interact with a virtual reality world. It is the model of 2-dimensional inverted pendulum controlled by a PID
Use Simulink® Report Generator™ to create a System Design Description report for a model. The report provides summary or detailed information about a system design represented by a
Illustrates the use of Simulink® 3D Animation™ MATLAB® interface to create 2D off-line animation files.
Illustrates the use of global coordinates in Simulink® 3D Animation™ models. Global coordinates can be used in the model in many ways for object tracking and manipulation, simple collision
Use Simulink® Report Generator™ to customize a System Design Description report for a model. The default version of the report provides information about a system design represented by a
This model illustrates the use of Simulink® 3D Animation™ for virtual reality prototyping and testing the viability of designs before the implementation phase. Also, this example
This model represents a tutorial example described in the documentation. See the 'Displaying a Virtual World' chapter in the Simulink 3D Animation User's Guide.
Vrmaglev is an example showing the interaction between dynamic models in Simulink® and virtual worlds. The Simulink® model represents the HUMUSOFT® CE152 Magnetic Levitation
Use Simulink® Report Generator™ to create a System Design Description report for a model. The report provides summary or detailed information about a system design represented by a