نتایج جستجو برای: robust model predictive control

تعداد نتایج: 3435771  

Journal: :Actuators 2022

In recent decades, the demand for rail transport has been growing steadily and faces a double problem. Not only must capacity be increased, but also more flexible service is needed to meet real demand. Both objectives can achieved through virtual coupling (VC), which an evolution of current moving block systems. Trains under VC run much closer together, forming what called virtually coupled tra...

2016
Jimin Yu Xiaogang Gong

Current hot issue of networked control systems(NCSs) remains how to optimize the signal transmission in imperfect links, especially, data missing(between the controller and actuator) is a potential source of poor performance of the control system. Here, stochastic variables satisfying markov jump process are used to describe the fading channel. Considering the uncertainty factor of plant, a pra...

Journal: :Procedia Computer Science 2021

In this work, a robust fuzzy model predictive control (RFMPC) is designed for uncertain time-delay systems under input constraints with external disturbances. The proposed controller based on an augmented state space that includes the variables and output tracking error variable of system. As result, can guarantee convergence performance To ensure stability closed loop constrained time-delays s...

Journal: :energy equipment and systems 2015
hamed javaheri fard hamid reza najafi hossein eliasi

wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. in general, these wind power plant...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2012
jamal gholami ahangarani, karim salahshoor behzad moshiri

a fault-tolerant control (ftc) methodology has been presented for nonlinear processes being imposed by control input constraints. the proposed methodology uses a combination of feedback linearization and model predictive control (flmpc) schemes. the resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the design context ...

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