Network control system controller design method based on hidden semi-markov model
A technology of a network control system and a design method is applied in the field of network control system controller design based on a hidden semi-Markov model, and achieves the effects of low computation time, short operation time, and fast training process.
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[0174] The design goal of the present invention includes two aspects: one, to realize the estimation of the network load state and the recognition of its transition probability; The networked control system satisfies robust stochastic stability. The specific index of the second goal is that the disturbance suppression level γ of the system is less than the set value of 1.5. In the specific implementation, the estimation of the network load state and the recognition of its transition probability, as well as the simulation and verification of the closed-loop control system are realized by means of Matlab.
[0175] Step 1: Parameter Identification
[0176] Divide the network load into four modes: low (L), medium (M), high (H), and congestion (C), use the Baum-Welch algorithm to train, and obtain the model parameters (that is, the state transition probability) as follows:
[0177] P = 0.6598 ...
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