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C is a set of changes applied to controller input in the presence of the workload and operational conditions.
Several estimation techniques have been developed and the obtained models applied to controller design.
The genetic algorithms are powerful for optimization, and have been successfully applied to controller design.
Several estimation techniques have been developed and applied to controller design.
The proposed scheme is applied to controller synthesis of a power system stabilizer, and its performance is compared with a tuned standard conventional PSS using nonlinear simulation of a multi-machine power network.
Furthermore, the proposed EPSOWP is applied to controller design and parameter identification for an inverted pendulum system as well as parameter learning of neural network for function approximation to show its viability to solve practical design problems.
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A sliding mode controller is applied to control the electrostatic transducers system.
Then the instantaneous optimal control method and Runge Kutta method in fourth-order are applied to the controller design with time delay.
This analysis is applied to a controller designed for a two-pool canal system.
The theoretical results are applied to a controller design problem based on stochastic linear, longitudinal F16 model.
The distance and speed relative to the car in front are measured by a radar sensor and applied to the controller.
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CEO of Professional Science Editing for Scientists @ prosciediting.com