Improved Minmax Control for Industrial Networked Systems Over Imperfect Communication

To cope with control issues of the networked control system under packet losses and uncertainty, an improved state space model-based linear quadratic (LQ) control is proposed in this paper. By extending the state vector with the set-point tracking error, the novel state space model provides more degrees of freedom for the relevant controller design through adjusting the corresponding weighting coefficients of the state variables and tracking error separately. Under such advantages, the proposed LQ scheme provides improved control performance compared with conventional LQ strategy in which only the original state variables can be weighted. A case study on the temperature regulation of an industrial coke furnace under uncertainty and packet losses is introduced to verify the effectiveness of the proposed control scheme in comparison with conventional LQ strategy.