In this paper, we consider the control of multivariable substructured systems with input constraints. Model Predictive Control (MPC) is used to synchronize the interface between the physical and numerical substructures. As a case study, a quasi-motorcycle suspension system is converted into a multivariable substructured system. An MPC controller is developed for this system. Simulation results ...

This paper presents a robust controller design methodology for a class of linear uncertain multivariable systems with hard time-domain constraints on their outputs and control signals in response to step disturbance inputs. In this approach, the m×m MIMO system is replaced by m2 SISO systems and then, using the QFT technique, desirable controllers are synthesized. The final controller will be d...

The quality of model-based controllers hinges on a careful specification of performance and robustness requirements. In typical norm-based control designs, these performance and robustness requirements are specified in a scalar optimization criterion, even for complex multivariable systems. This paper aims to develop a novel and systematic approach for the formulation of this optimization crite...