Fractional Order Distributed Model Predictive Control of Fast and Strong Interacting Systems

Fast and strong interacting systems are hard to control from both performance effort points of view. Moreover, multiple objective functions or objectives with various identifiers varying weights can hold unfeasible solutions at times. A novel cost function is proposed here overcome feasibility set limitations computational burdens. An application example used illustrate its added value, which a fast multivariable system: landscape office lighting regulatory problem. New technology an intelligent system have been produced improve accuracy reduce power consumption. While optimizing the hardware system, energy consumption be further reduced by applying advanced strategy in system. This paper designed fractional order distributed model predictive (FOMPC) scheme realize reference tracking stability illuminations same time. In test efficiency strategy, experiment was carried out on setup based dSPACE The FOMPC analyzed through simulation experiments Through comparison mode (MPC) scheme, superiority for dynamic behavior verified. research results provide basis application.