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The modified PBT Power Balance Theoryy) based control algorithm is used to estimate the reference source currents for control of STATCOM.
The passivity based control algorithm is shown in (13) and (14).
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Advanced model based control algorithms are often used for providing improved control of complex systems.
The model-based control algorithm is decoupled and separately actuates both the servo gear and torque motors.
Furthermore, a convex optimization-based control algorithm is developed, which is the key technology fulfilling the active trajectory control.
In this article, a non-identifier based control algorithm, called funnel control, is proposed to solve this clinical problem in real practice.
To analyze this new model based control algorithm, a three zone heater barrel apparatus was designed and constructed for closed-loop testing to be performed.
Then, a policy iteration based learning control algorithm is employed to solve the modified Hamilton Jacobi Bellman equation with respect to the nominal plant iteratively.
Short time Fourier transformation (STFT) based control algorithms (feedforward and feedback) are developed to control the stiffness of the spring such that the sTLCD is tuned in real-time when the dominant excitation frequency varies or damage occurs to the primary structure.
An equation based fair rate control algorithm is designed to improve the fairness among the traffic flows sharing the congestion path.
The covariance estimation based iterative power control algorithm is summarized by the pseudo code of Algorithm 1.
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