This paper applies multivariable robust control strategies to a proton exchange membrane fuel cell (PEMFC) system. From the system point f view, a PEMFC can be modeled as a two-input-two-output system, where the inputs are air and hydrogen flow rates and the outputs are cell oltage and current. By fixing the output resistance, we aimed to control the cell voltage output by regulating the air an...

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 new design of robust optimal controller for multivariable system. The row characteristic functions of a linear multivariable system and dynamic decoupling of its equivalent system, were applied to change the transfer function matrix of a closed-loop system into a normal function matrix, so that robust H optimal stability is guaranteed. Furthermore, for the decoupled equiva...

Predictive functional control and multivariate PI predictive functional control is presented based on state space equation for non-linear, fast time-varying, multivariable coupling near-space vehicle attitude control system. Transforming nonlinear optimal problems into online optimization in the linear time-invariant systems and solve the control law in a rolling way. Lyapunov’s second stabilit...

A new design method internal model control is proposed for multivariable over-actuated processes that are often encountered in complicated industrial processes. Due to the matrix that is adopted to describe over-actuated system is not square, many classical multivariable control methods can be hardly applied in such system. In this paper, based on method of virtual outputs, a new internal model...

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