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Coupling analysis and loop pairing method via an information-theoretic approach

It is essential to investigate coupling and loop pairing to determine control system configurations. This paper presents a new control-loop configuration criterion for multi-input multi-output (MIMO) processes based on relevant information-theoretic knowledge. First proposes a new variable pairing rule based on mutual information rate (MIR) among input and output variables. The information coupling strength is formulated in terms of mutual information rates. Then, the straightforward MIR calculation using frequency formula in MIMO LTI systems is introduced briefly under information-theoretic framework. Finally, the transfer function of ball mill pulverizing system is provided to demonstrate the effectiveness of the above coupling measure and the variable pairing rules. Besides, we analyze the simulation MIR results. According to the results, we can give some concise suggestions to the control schemes' design and then give simulation procedure and result.