Sentence examples for the state input from inspiring English sources

The jumping parameters are modelled as a continuous-time, discrete-state Markov process and the parametric uncertainties are assumed to be real, time-varying and norm-bounded that appear in the state, input and delayed-state matrices.

where,, and are the state, input and output vectors of the system and,,, and are the fractional orders.

Here x i j,u i j,y i j stand for the state, input, and output of the cell i j, respectively; A,B,z are the template parameters: A for feedback, B for input, and z i j for bias.

(bigwedge (bigvee)) stand for the fuzzy AND (OR) operation, (z_{i}(t), v_{i}(t)) and (G_{i}(t)) denote the state, input and bias of the ith neuron, respectively; (h cdot)) is the activation function; (delta_{i}(t)) is the transmission delay.

This paper gives a short conceptual description of how to aggregate the points in the state-input space to recognize validated, non-validated and invalidated domains.

Thus, is the vector of state variables at time, is the state-input gain vector, is the vector of state-gains for the output, and the direct-path gain is.

The paper also presents a decomposition procedure using the clustering technique of the states, inputs and outputs structure information to compute directly the appropriate diagonal structures of the output gain matrix for practical implementation.

In this paper, first by using the structure of the state-input domain, that is, considering the time sequence of input-output pairs, some appropriate LDs are created.

The identification of PWA systems includes the estimation of the parameters of affine subsystems and the coefficients of the hyperplanes defining the partition of the state-input domain.

In addition, applying the structure of the state-input domain, that is, considering the time sequence of input-output pairs, provides a more efficient clustering algorithm, which is the other novelty of this work.

These states are specializations of the states they inherit their name from and have the sense of avoiding to enter the state AI in these situations where the meaning of the state-input sequence is non ambiguous.