This article proposes an economic model predictive control (EMPC) approach for linear parameter varying (LPV) systems. An efficient implementation of the associated MPC optimization problem is introduced based on transforming LPV into a time-varying one by using estimation scheduling variables along prediction horizon. optimal states/inputs determined from solution previous while running recedi...

As a systematic method for gain-scheduling, the linear parameter-varying (LPV) system framework has been widely used design of aerospace control systems with large operating envelopes. This paper presents and analysis an adaptive architecture LPV subject to time-varying parametric uncertainties external disturbances, both transient steady-state performance guarantees. We introduce new tools rel...

In this article, a robust model predictive control (MPC) procedure for quasi-linear parameter varying (qLPV) systems is proposed. The novelty resides in considering recursive extrapolation algorithm to estimate the values of scheduling parameters along prediction horizon , which fastens sluggish performances achieved with qLPV MPCs from literature. bounds on estimation errors through are taken ...

Permanent magnet synchronous motor (PMSM), employing vector control, is used in high performance servo drive applications. It is highly non-linear plant which can be described by linear parameter varying (LPV) state-space model. In order to solve nonlinearity problem and syntesize speed controler, tensor product (TP) model transformation is proposed. Using this transformation, given linear para...