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  • Control System Tuning in Simulink Made Easy

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  • Simulating Cardiovascular Conditions

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  • Improving Simulation Performance in Simulink

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Using a helicopter flight control system as an example, this article describes a systematic and automated method for tuning all controller parameters at once subject to standard performance and robustness requirements.
A fully automated MCL modeled in Simulink and Simscape enables researchers to accurately simulate cardiac conditions and dynamics to evaluate the performance of cardiac assist devices.
Tips and techniques to make your model run faster.
Use simulation to design and verify complex control strategies in a model—then reuse the model to automatically generate IEC 61131 structured text to program the PLC for deployment.
Even engineers who are not controls experts can quickly design and tune PID controllers using this simple method.
This paper shows how a vehicle’s geometry can be optimized, control coefficients calculated, open-loop plant model created, flight controller designed, and closed-loop simulation run, to confirm that system-level requirements are satisfied.
As any airline passenger who has experienced moderate turbulence knows, an aircraft is not a rigid structure. In certain circumstances, the complex interaction between the flexible structure and the aerodynamics can produce undesirable effects.

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