Search Results - Parametric predictive control algorithm

A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration by Yu, Tianyu, Xu, Zuhua, Zhao, Jun, Chen, Xi, Biegler, Lorenz T.

“… In this work, a fully distributed nonlinear model predictive control (DNMPC) algorithm is developed to accelerate control feedback…”
Get full text

Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters by Percival, M.W., Wang, Y., Grosman, B., Dassau, E., Zisser, H., Jovanovič, L., Doyle, F.J.

“…A multi-parametric model predictive control (mpMPC) algorithm for subcutaneous insulin delivery for individuals with type 1 diabetes mellitus (T1DM…”
Get full text

A study on the extended horizon adaptive control algorithm of the magnetic support system for high-speed rotor machines by Kurnyta-Mazurek, P., Szolc, T., Henzel, M., Falkowski, K.

“…•Parametric predictive algorithms are suitable for adoption by the AMB control system…”
Get full text

An algorithm for robust explicit/multi-parametric model predictive control by Kouramas, K.I., Panos, C., Faísca, N.P., Pistikopoulos, E.N.

“…A new algorithm for robust explicit/multi-parametric Model Predictive Control (MPC) for uncertain, linear discrete-time systems is proposed…”
Get full text

Control system with a non-parametric predictive algorithm for a high-speed rotating machine with magnetic bearings by Kurnyta-Mazurek, Paulina, Szolc, Tomasz, Henzel, Maciej, Falkowski, Krzysztof

“…) algorithm and the proportional-derivative (PD) algorithm are presented. The MAC algorithm is the non-parametric predictive control method that uses an impulse response model…”
Get full text

An algorithm for reducing complexity in parametric predictive control by Rossiter, J. A., Kouvaritakis, B., Cannon, M.

“…Multi parametric quadratic programming solutions to predictive control can require large numbers of regions which would make practical implementation difficult…”
Get full text

Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming by Kouramas, K.I., Faísca, N.P., Panos, C., Pistikopoulos, E.N.

“…This work presents a new algorithm for solving the explicit/multi-parametric model predictive control (or mp-MPC…”
Get full text

Indirect Adaptive MPC for Discrete-Time LTI Systems With Parametric Uncertainties by Dhar, Abhishek, Bhasin, Shubhendu

“… A suitably designed gradient-descent-based indirect adaptive controller, used to handle parametric uncertainties, is combined with a model predictive control (MPC…”
Get full text

An Iterative GPC-like nonlinear predictive control algorithm for the parametric Volterra model by Haber, Robert, Bars, Ruth, Arousi, Fakhredin

“… A new iterative nonlinear predictive control algorithm is presented here based on the quadratic parametric Volterra model…”
Get full text

Robustness Enhancement Strategy for Flexible Joints Based on Model Predictive Current and Adaptive Control by Yang, Yifei, Zhao, Jianxing, Sun, Xiaodong, Wang, Yong

“… A non-parametric model predictive current control method is employed to update current data in real time…”
Get full text

A dynamic programming based approach for explicit model predictive control of hybrid systems by Rivotti, Pedro, Pistikopoulos, Efstratios N.

“…This work presents an algorithm for explicit model predictive control of hybrid systems based on recent developments in constrained dynamic programming and multi-parametric programming…”
Get full text

Efficient suboptimal parametric solutions to predictive control for PLC applications by Valencia-Palomo, G., Rossiter, J.A.

“…The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint handling capabilities into a programmable logic controller (PLC…”
Get full text

Towards the integration of process design, control and scheduling: Are we getting closer? by Pistikopoulos, Efstratios N., Diangelakis, Nikolaos A.

“…•Advanced multi-parametric model predictive control schemes.•State-space scheduling representation and multi-parametric optimization solution…”
Get full text

Distributed model predictive control for consensus of nonlinear systems via parametric sensitivity by Yu, Tianyu, Zhao, Fei, Xu, Zuhua, Zhao, Jun, Chen, Xi

“…To handle the nonlinear consensus problem, a distributed model predictive control (DMPC…”
Get full text

Predictive signature development based on maximizing the area between receiver operating characteristic curves by Huang, Xin, Tian, Lu, Sun, Yan, Chatterjee, Saptarshi, Devanarayan, Viswanath

“… therapeutic and the control groups without assuming any parametric model. We further generalize the proposed algorithm for predictive signature development to maximize the difference of Harrel's C…”
Get full text

Explicit/multi-parametric model predictive control of dissipative distributed parameter systems by Liu Liu, Biao Huang, Dubljevic, Stevan

“…This work focuses on the development of an explicit/multi-parametric model predictive control algorithm to stabilize the discrete infinite-dimensional system arising from the discrete state space…”
Get full text

Polyhedral feasible set computation of MPC-based optimal control problems by Xie, Lantao, Xie, Lei, Su, Hongye, Wang, Jingdai

“…Feasible sets play an important role in model predictive control &#x0028 MPC &#x0029 optimal control problems &#x0028 OCPs &#x0029…”
Get full text

Deep DeePC: Data‐enabled predictive control with low or no online optimization using deep learning by Zhang, Xuewen, Zhang, Kaixiang, Li, Zhaojian, Yin, Xunyuan

“…Data‐enabled predictive control (DeePC) is a data‐driven control algorithm that utilizes data matrices to form a non…”
Get full text

qpOASES: a parametric active-set algorithm for quadratic programming by Ferreau, Hans Joachim, Kirches, Christian, Potschka, Andreas, Bock, Hans Georg, Diehl, Moritz

“…) problems or require the solution of QP problems on a lower algorithmic level. One relatively recent approach to solve QP problems are parametric active-set methods…”
Get full text

Robust self-triggered min–max model predictive control for discrete-time nonlinear systems by Liu, Changxin, Li, Huiping, Gao, Jian, Xu, Demin

“…In this paper, we propose a robust self-triggered model predictive control (MPC) algorithm for constrained discrete-time nonlinear systems subject to parametric uncertainties and disturbances…”
Get full text