Mastering System and Algorithm Modeling with MATLAB Simulink Training

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Mastering System and Algorithm Modeling with MATLAB Simulink Training

Introduction to Simulink Interface and Basic Model Creation

The 'Simulink Fundamentals' course, previously known as 'Simulink for System and Algorithm Modeling,' is tailored for engineers who are new to system and algorithm modeling using Simulink. Over the course of two days, participants learn how to apply fundamental modeling techniques to build Simulink block diagrams efficiently. The initial day focuses on creating and simulating models. Attendees are introduced to the Simulink interface, where they create a simple model, simulate it, and analyze the results. They delve into topics such as generating and visualizing signals, understanding solver behavior, dealing with algebraic loops, and modeling basic programming constructs within Simulink, including comparisons, decision statements, and actuator logic systems. This hands-on approach allows engineers to gain practical experience in system dynamics simulation and model analysis.

Modeling Discrete and Continuous Systems with Simulink

The training progresses to cover discrete and continuous systems modeling in Simulink. Participants work on discrete systems, learning to model and simulate discrete signals and states, create PI controller systems, implement discrete transfer functions, state-space systems, as well as multirate discrete systems. Moving on to continuous systems, engineers master the modeling and simulation of continuous states, throttle systems, and continuous transfer functions and state-space systems. They also explore how to fine-tune simulation parameters for speed and accuracy to ensure their models reflect real-world behaviors effectively. By the end of this section, engineers are equipped to create more complex system models reflecting both discrete and continuous elements.

Advanced Techniques in System Modeling and Model Hierarchy Development

The second day focuses on advanced system modeling techniques. Engineers develop model hierarchy using subsystems to combine smaller systems into larger, more complex configurations. They understand the concept of ports and subsystems, masks, and working with vector and bus signals within Simulink. Additionally, the course delves into modeling conditionally executed algorithms, enabling engineers to create subsystems that execute based on specific control signal inputs. Participants explore referencing model components to efficiently combine subsystems and models, covering referencing workflows, subsystem and model referencing, and managing model dependencies. Furthermore, engineers learn how to create custom blocks using libraries to promote reusability and effective model distribution.

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