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Introduction to Simulink

Introduction to Simulink. Matlab based Both Continuous Time and Discrete Time Simulation Based on Blocksets Model Based Design: a software model of the environment can be developed and the design can be tested by simulation

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Introduction to Simulink

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  1. Introduction to Simulink • Matlab based • Both Continuous Time and Discrete Time Simulation • Based on Blocksets • Model Based Design: a software model of the environment can be developed and the design can be tested by simulation • Transition between “ideal” algorithms (infinite precision, floating point) to “real world” algorithms (finite precision, fixed point); • Automatic Code Generation: once the design is tested and validated, real time code can be automatically generated for the target platform • Continuous Test and Verification

  2. Advantages (from the MathWorks slide) • Innovation • Rapid design iterations • “What-if” studies • Unique features and differentiators • Quality • Reduce design errors • Minimize hand coding errors • Unambiguous communication internally and externally • Cost • Reduce expensive physical prototypes • Reduce re-work • Reduce testing • Time-to-market • Get it right the first time

  3. Simulink • Hierarchical block diagram design and simulation tool • Built-in notions of time and concurrency • Digital, analog/mixed signal and event driven • Visualize Signals • Co-develop with C code • Integrated with MATLAB

  4. Simulink has a very rich library of blocksets:

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