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In order to make the deviation of UTC(k) from UTC as small as possible, and keep high short-term and long-term frequency stabilities as well, a new steering algorithm is proposed, and the detailed algorithm is as follows:.
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Potentials of dynamic traffic steering algorithms are also addressed in[10].
In this guidance scheme, the artificial neural network is adopted to implement gains steering and the evolutionary algorithm is used as the learning algorithm for artificial neural network.
The time-optimal solution is obtained with Lyapunov-based guidance, in which the artificial neural network (ANN) is adopted to implement control gains steering and the evolutionary algorithm is used as the learning algorithm for ANN.
In [18], based on the worst-case SNR over the uncertain on steering vector, an iterative algorithm is presented to optimize the waveform covariance matrix under a power constraint.
Theoretical analysis shows that the event-triggered distributed subgradient algorithm is capable of steering the whole network of agents asymptotically converge to an optimal solution of the convex optimization problem.
When the amplitude A k and the direction α k of the required steering force F are determined, a control algorithm is then needed to adjust each pad force to achieve the required steering force.
To make use of the information about a steering vector contained in past STI windows, a recursive algorithm is developed to estimate the posterior PDF of the steering vector.
To improve the accuracy and safety in steering, a new type of integrated reactive joystick and control algorithm is developed.
We also notice that faster binary steering gives better binary reconstructed images when the sequential iterative nonbinary algorithm is used.
Finally, the estimation algorithm is analysed by means of validated numerical EPS model, a steering test bench and a real prototype car.
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