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Finally, the stable and robust control performances of an adaptive controller by the Lyapunov stable theory for a motor-toggle mechanism with external disturbances are proposed.
A comparative study is presented on tuning of the developed controller by the conventional Zeigler-Nichols method and Auto tuning.
The experiment shows that it is possible to apply MPC algorithm in field controller by the proposed design.
The simulation results are also included to show the effectiveness of the fuzzy controller by the flexible spacial model design approach.
From the simulation and experimental results presented, both of the two designed fractional order controllers work efficiently, with improved performance comparing with the designed stabilizing integer order PID controller by the observation.
Based on the obtained results, a state-feedback controller by the parallel distributed compensation scheme is designed to stabilize the positive switched T S fuzzy system, while guaranteeing the prescribed weighted L2-gain performance and positivity in closed-loop.
Similar(51)
A parametric cyber-physical adversary is able to obtain the system model, H z), and mislead the controller, by eavesdropping the control inputs and the sensor measurements.
Furthermore, it is possible to limit the amount of data collected by the controller by maximising the information collected.
The total line loss is reduced quickly and efficiently through the dynamic controller, by which the optimization task of the OPF calculation is shared and greatly reduced.
The force necessary to perform the programmed movement could be directly recorded via the controller by measuring the current consumption over time.
Contrary to the conventional control approaches these focus on constructing a controller by using the model of the rate-based system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com