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Simply robust control strategy based on model predictive control
A control engineer is required to design a controller that will stabilize a system, and satisfy
specific performance under the influence of disturbance, observation noise, unmodeled …
specific performance under the influence of disturbance, observation noise, unmodeled …
Transferring and tilt motion control of the liquid container to suppress sloshing by using Generalized Predictive Control Method
R Shibuya, H Okatsuka, Y Noda… - 2011 IEEE/SICE …, 2011 - ieeexplore.ieee.org
This paper presents sloshing suppression control of liquid with the high-speed transfer. In
order to suppress the sloshing, mathematical model comprised of the continuous equation …
order to suppress the sloshing, mathematical model comprised of the continuous equation …
[PDF][PDF] Realization of Safe Autonomous Driving using Randomized Model Predictive Control
1.1 Background Autonomous driving (AD) has been advancing significantly over the last few
decades. It is impossible not to wonder why it has been a major research interest all around …
decades. It is impossible not to wonder why it has been a major research interest all around …
Modeling framework for batch‐dependent dynamics of reaction process by combining first principles and machine learning
We propose a modeling framework for automating batch processes operation. Batch
processes are often controlled by PID controllers, where engineers manually regulate their …
processes are often controlled by PID controllers, where engineers manually regulate their …
Optimal control of dc-dc converter using mixed logical dynamical system Model
This paper presents an optimal control method of dc-dc converters. The method is based on
hybrid dynamical system theory. Specifically, the input of the considered system is confined …
hybrid dynamical system theory. Specifically, the input of the considered system is confined …
Wireless Sensor Network based Control System-Trade off between sensor power saving and control performance
This paper is discussed on some new control methodologies for wireless sensor network
based closed loop control systems. Such a system is required to save battery energy …
based closed loop control systems. Such a system is required to save battery energy …
Hierarchical Model Predictive Control Applied to a Cement Raw Material Mixing Process
Y Iino, K Abe, Y Tsukamoto - SICE Journal of Control …, 2008 - Taylor & Francis
A practical model predictive control method is proposed which was applied to a cement raw
material mixing process. The method has a hierarchical structure of 3 layers consisted of set …
material mixing process. The method has a hierarchical structure of 3 layers consisted of set …
Study on model predictive control to minimize temperature change of vertical plate with varying heat generation
Precise process temperature control of 0.001° C under circumstances of noise-temperature
change of 0.1° C is required in semiconductor manufacturing process. We studied optimum …
change of 0.1° C is required in semiconductor manufacturing process. We studied optimum …
Hierarchical MPC supervisory control with sensitivity and controllability monitoring
Y Iino - 2008 SICE Annual Conference, 2008 - ieeexplore.ieee.org
Model predictive control (MPC) enables to handle multi-objective optimal operations and
control in various kinds of process controls. In fact, simultaneous optimization of stability …
control in various kinds of process controls. In fact, simultaneous optimization of stability …
第一原理と機械学習の組み合わせによる反応プロセスのバッチ毎特性のモデル化方式
石飛太一, 河野洋**, 望月義則 - 電気学会論文誌 C (電子・情報 …, 2023 - jstage.jst.go.jp
抄録 We propose a modeling framework for automating batch processes operation. Batch
processes are often controlled by PID controllers, where engineers manually regulate their …
processes are often controlled by PID controllers, where engineers manually regulate their …