Synthesis and Implementation of a Robust Fixed Low-Order Controller for Uncertain Systems

Effective Use of MPC for Dynamic Decoupling of MIMO Systems

“…as well as constraints imposed on predicted output variables: (11) determine the degree of constraint violation in case the criterion (3) is not solvable. As typically for the predictive controllers the actual control signals are used only and the computation is repeated in the next control step.…”

“…min i y and max i y for 1,2,..., ip  may be specified as for example, 2%  of the appropriate set point. In case that such constraint is not able to satisfy it is naturally softened by (10) and (11) taken into consideration in (9). There are several advantages of this method.…”

“…Reference [10] considers MIMO as proper, lumped, and linear time invariant systems and gives analytical expressions of the Input/Output (I/O) decoupling problem by the use of two-parameter stabilizing control. In [11], a robust decoupling controller for uncertain MIMO systems has been proposed, where uncertainty of model parameters and the desired performance is taken into account, and the min-max non-convex optimization problem is used in the controller design. In [15]- [18], switching, fuzzy, and neural decoupling controllers are constructed in Manuscript received 20 August, 2018; accepted 2 December, 2018.…”