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We show robustness of the scheme with respect to sensing and actuation noise.
Also a robustness of the scheme with respect to parameter mismatch and noise is demonstrated.
Then, the optimal training scheme with respect to this bound is derived.
A comparative evaluation of the computational effort of our scheme with respect to classical motor control is given.
Open image in new window Fig. 6 Computational efficiency comparison between centralized and distributed scheme with respect to EX1-3.
We compare the minimum hop routing (MHR) schemes and the link quality scheme with respect to the node density.
In other words, the suboptimal scheme is close to the optimal scheme with respect to the EST.
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We compare these schemes with respect to precision and speed.
This paper investigates the effectiveness of various advance drainage schemes with respect to face stability.
We present each of the following allocation schemes with respect to the topology in Figure 6.
Experimental results show that our proposed scheme outperforms other schemes with respect to time cost, accuracy and load.
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