Optimal control of large buildings using a hybrid model predictive control approach

2018 ◽  
Author(s):  
Oleg Yurievich Maryasin
Keyword(s):  
Optimal Control ◽  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Control Approach

Optimal control of intelligent vehicle longitudinal dynamics via hybrid model predictive control

2019 ◽  
Vol 112 ◽  
pp. 190-200 ◽  
Author(s):  
Xiaoqiang Sun ◽  
Yingfeng Cai ◽  
Shaohua Wang ◽  
Xing Xu ◽  
Long Chen
Keyword(s):  
Optimal Control ◽  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Intelligent Vehicle ◽  
Longitudinal Dynamics

scholarly journals Computationally aware control of autonomous vehicles: a hybrid model predictive control approach

2015 ◽  
Vol 39 (4) ◽  
pp. 503-517 ◽  
Author(s):  
Kun Zhang ◽  
Jonathan Sprinkle ◽  
Ricardo G. Sanfelice
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Autonomous Vehicles ◽  
Control Approach

A distributed model predictive control approach to cooperative adaptive cruise control of the heterogeneous platoon

2021 ◽  
pp. 095440702110705
Author(s):  
Guangming Nie ◽  
Bo Xie ◽  
Zixu Hao ◽  
Hangwei Hu ◽  
Yantao Tian
Keyword(s):  
Optimal Control ◽  
Model Predictive Control ◽  
Control Problem ◽  
Predictive Control ◽  
Control Algorithm ◽  
Sampling Period ◽  
Distributed Model ◽  
Cruise Control ◽  
Control Approach ◽  
Distributed Model Predictive Control

This paper presents a distributed model predictive control algorithm to solve the cruise control problem of a heterogeneous platoon. Each following vehicle in the platoon can use the communication equipment to receive the information of the leading vehicle and its preceding adjacent one. The vehicles in the platoon are dynamically decoupled and have different dynamic parameters. Each vehicle solves a local optimal control problem independently. The cost function of each vehicle’s local optimal control algorithm is designed with traceability as the control objective, and its asymptotic stability is guaranteed by using the terminal constraint method. In addition, the timestamps of all vehicles in the platoon are synchronous, which means that in each sampling period, a specific vehicle in the platoon cannot obtain the solution results of other vehicles’ local optimal control problems at the current sampling moment. Under this restriction, the constraints that each vehicle needs to meet to realize the platoon’s string stability are also designed. Finally, the simulation results show the effectiveness of the algorithm.

Optimal charging of a Li-ion cell: A hybrid Model Predictive Control approach

2016 ◽  
Author(s):  
Marcello Torchio ◽  
Lalo Magni ◽  
Richard D. Braatz ◽  
Davide M. Raimondo
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Control Approach ◽  
Li Ion

Optimal control of shading system using Hybrid Model Predictive control

2014 ◽  
Author(s):  
Khang Le ◽  
Romain Bourdais ◽  
Herve Gueguen
Keyword(s):  
Optimal Control ◽  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control

Optimal control of the blowing mode parameters during basic oxygen furnace steelmaking process

2021 ◽  
pp. 94-96
Author(s):  
Yurii Mariiash ◽  
Oleksandr Stepanets
Keyword(s):  
Optimal Control ◽  
Model Predictive Control ◽  
Predictive Control ◽  
System Modeling ◽  
Basic Oxygen Furnace ◽  
Steel Scrap ◽  
Quadratic Functional ◽  
Steelmaking Process ◽  
Basic Oxygen ◽  
Control Approach

The oxygen converter is intended for production of steel from liquid cast iron and steel scrap at blowing by oxygen. Nowadays, Basic Oxygen Furnace process is the main method for steelmaking. The main disadvantage of the basic oxygen furnace is the limited ability to increase the part of scrap metal. The task of the proposed approach is to control of the blowing mode parameters to establish the optimal level of CO2 that will ensure a minimum specific cost of steel in the presence of restrictions and boundary conditions of basic oxygen furnace steelmaking process. A model predictive control taking into account the constraints on the input signals and the quadratic functional is proposed.  The design of Model Predictive Control is based on mathematical model of an object. This approach minimizes the cost function that characterizes the quality of the process. The result of the automatic control system modeling shows that the Model Predictive Control approach provides retention of carbon dioxide level when oxygen consumption is changing. The obtained quadratic functional is optimized to find the optimal control of blowing parameters.

scholarly journals A hybrid model predictive control approach to attitude control with minimum-impulse-bit thrusters

2015 ◽  
Author(s):  
Pantelis Sopasakis ◽  
Daniele Bernardini ◽  
Hans Strauch ◽  
Samir Bennani ◽  
Alberto Bemporad
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Attitude Control ◽  
Control Approach

scholarly journals Flooding management using hybrid model predictive control: application to the Spanish Ebro River

2012 ◽  
Vol 15 (2) ◽  
pp. 366-380 ◽  
Author(s):  
J. Romera ◽  
C. Ocampo-Martinez ◽  
V. Puig ◽  
J. Quevedo
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Ebro River ◽  
Control Approach ◽  
Control Application ◽  
The City

In this paper, the problem of flooding management using hybrid model predictive control is presented and applied to the Ebro River in Spain. The Ebro River presents flooding episodes in the city of Zaragoza during spring when snow melts in the Pyrenees. To avoid flooding in populated areas, some land outside the city is prepared for flooding. This paper presents a control approach to determine and fix the level of flooding in pre-established zones by controlling side gates that determine the water input to the land to be flooded. Finally, several scenarios are used to validate the performance of the proposed approach.

Sign in / Sign up

Export Citation Format

Share Document