What's the course about
The course focuses on how to implement complex decision flows and finite-state machines using Stateflow and provides a general understanding of how to accelerate the design process for closed-loop control systems using MATLAB. Also it offers the good understanding of modelling and analyzing electrical systems. |
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Course objective |
This course gives guidance on key features of widely used toolboxes in simulink, help transform concepts to a complete model, verify and evaluate the system behaviour in different user environments. It allows the attendees to explore the more advanced features of MATLAB in a unified manner and help learners 'future-proof' themselves and remain relevant for the rapidly evolving technology from industry perspective. |
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Key course contents |
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MATLAB built-in functions |
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2D and 3D plots |
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Simulink modelling |
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Masks and Subsystems |
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Lookup table editor and breakpoints |
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Stateflow modelling |
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Hierarchical state machines) |
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Parallel state machines |
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Events in state machines |
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Functions in state machines |
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Truth tables and State transition tables |
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Control systems stability analysis |
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Controller implementation – P, PI, PID |
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Frequency response estimation |
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Simscape modelling |
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Selecting solver methods |
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Connecting physical signals and simulink signals |
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Who can enroll |
Students, professionals, research scholars in Electrical and Electronics domain and students pursuing their Bachelors, Diploma or Masters in ECE, EEE, E&I, CS and IT, and industry professionals.
Anyone who wants to enrich themselves with the key skills of simulink, Stateflow, Simscape and control systems design. |
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Job opportunities |
MATLAB developer, Simulink model developers, Electric vehicle modelling engineer, Vehicle dynamics engineer,Process control engineer are some of the frequently posted jobs for which MATLAB students can apply. |
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