Simulink is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation, and continuous test and verification of embedded systems. Simulink provides a graphical editor, customizable block libraries, and solvers for modeling and simulating dynamic systems. It is integrated with MATLAB(R), enabling you to incorporate MATLAB algorithms into models and export simulation results to MATLAB for further analysis. Simulink is a graphical modeling and simulation environment for dynamic systems. You can create block diagrams, where blocks represent parts of a system. A block can represent a physical component, a small system, or a function; an input/output relationship fully characterizes the block. Before you start a simulation, you can specify options like simulation start time, stop time, and the solver for solving the model. You specify these options in the Configuration Parameters dialog box. After you set your model configuration parameters, you can start the simulation. You can pause, resume, and stop simulation using toolbar controls. You can also simulate more than one model at a time, so you can start another simulation while one is running.During simulation, you cannot make changes to the structure of the model, such as adding or deleting lines or blocks. However, you can make these changes while a simulation is running. You can also examine the model visually as it simulates. During the modeling process, you run simulations to learn about the behavior of your model. To observe that behavior, view and plot signal values during and after a simulation. Some common modeling tasks that include simulations are: -Prototype - Quickly model a design and compare design alternatives.-Validate - Compare simulated data with functional requirements to validate that you built your model correctly.-Optimize - Compare simulated data between simulations to check if changes to your model remain within a specified design tolerance.-Verify - Compare simulated data from a model with measured data from the modeled system to verify that your model gives the correct answer.In Simulink you can view simulation data using several approaches. Some approaches display signal data during a simulation. Other approaches save signal data to the MATLAB workspace where you can post process the data. Learn about each of these approaches soyou can choose one suitable for your application.The design of a model and choice of configuration parameters can affect simulation performance and accuracy. Solvers handle most model simulations accurately and efficientl with default parameter values. However, some models yield better results when you adjust solver parameters. Information about the behavior of a model can help you improve simulation performance, particularly when you provide this information to the solver. Use optimization techniques to better understand the behavior of your model and modify the model settings to improve performance and accuracy. To optimize your model and achieve faster simulation automatically using Performance Advisor