Then, the priority controller decides transmission order of connections, and the TXOP controller decides the number of transmitted packets to maintain the jitter.
At last, based on Lyapunov stability theory, a decentralized adaptive neural control method is proposed, and the designed controller decreases the number of learning parameters.
Then, based on adaptive backstepping technique and Lyapunov stability theory, a robust control scheme is presented, and the developed controller decreases the number of learning parameters and thus reduces the computational burden.
Unfortunately, the input capabilities of the controller limited the number of actual chords or notes we could play and the size and power of the Mega32 limited sound generation to DDS, meaning that full guitar chords were out of the question.
If the timer for deactivating Spine switches is on and Tdd is exceeded, the Spine Switch Controller calculates the number (min_num) of Spine switches that should be deactivated (as shown in lines 5 7 in Algorithm 5) and determines which Spine switches should be deactivated.
Moreover, compared to the related existence predictive controllers, as the number of T2FNN estimators are reduced, the computation time in the online applications decreases.
Sleeping controllers detect the number of queuing length.
