Some examples for the decentralized receding horizon control

In the control of industrial processes, the use of finite-horizon quadratic cost criteria is becoming more popular. One type of control, which is called the predictive or the receding horizon control, utilizes finite-horizon optimization methods to obtain an infinite-horizon control. In this type of control, the horizon is constantly rolled back, and the control is constantly updated to reflect the possible changes in the system. This approach is most suited for applications in which future values are unpredictable, unreliable, or time varying. Examples of a receding horizon control are considered for decentralized systems. The performance of the decentralized receding horizon control for time-invariant and time-varying systems with different updating intervals is examined.<
>