Results 71 to 80 of about 53,295 (225)

Sliding mode predictive control for chemical proces with time delay [PDF]

, 2005
16th IFAC World Congress Praga (República Checa), 03/07/2005A design of a novel model predictive controller is presented. The proposed Sliding Mode Predictive Control (SMPC) algorithm combines the design technique of Sliding-Mode Control (SMC) with Model
Camacho, Eduardo F., García Gabín, Winston, Zambrano, Darine   +2 more
core   +1 more source

A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC

CoRR, 2021
In this work, we develop a novel data-driven model predictive controller using advanced techniques in the field of machine learning. The objective is to regulate control signals to adjust the desired internal room setpoint temperature, affected indirectly by the external weather states. The methodology involves developing a time-series machine learning
Clement Etienam, Siying Shen, Edward J. O'Dwyer, Joshua Sykes   +3 more
openaire   +2 more sources

Smart Irrigation System Considering Optimal Energy Management Based on Model Predictive Control (MPC) [PDF]

, 2022
Wilmer Enrique Quimbita-Zapata, Edison Toapaxi, Jacqueline Llanos   +2 more
openalex   +1 more source

An Improved Constraint-Tightening Approach for Stochastic MPC

, 2014
The problem of achieving a good trade-off in Stochastic Model Predictive Control between the competing goals of improving the average performance and reducing conservativeness, while still guaranteeing recursive feasibility and low computational ...
Allgöwer, Frank, Dabbene, Fabrizio, Lorenzen, Matthias, Tempo, Roberto   +3 more
core   +1 more source

A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings

Energy and AI
Management of the electrical grid is becoming more complex due to the increased penetration of alternative energy generation technologies and a broadening diversity of electric loads.
Dylan Wald, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day   +9 more
doaj   +1 more source

Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance

, 2018
Heating, Ventilation and Air Conditioning (HVAC) consumes a significant fraction of energy in commercial buildings. Hence, the use of optimization techniques to reduce HVAC energy consumption has been widely studied. Model predictive control (MPC) is one
Jain, Milan, Kalaimani, Rachel K, Keshav, Srinivasan, Rosenberg, Catherine   +3 more
core   +1 more source

LeTac-MPC: Learning Model Predictive Control for Tactile-Reactive Grasping

IEEE Transactions on Robotics
Grasping is a crucial task in robotics, necessitating tactile feedback and reactive grasping adjustments for robust grasping of objects under various conditions and with differing physical properties. In this paper, we introduce LeTac-MPC, a learning-based model predictive control (MPC) for tactile-reactive grasping. Our approach enables the gripper to
Zhengtong Xu, Yu She
openaire   +2 more sources

Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control

IEEE Access, 2017
This paper presents a fuzzy adaptive model predictive approach for load frequency control of an isolated micro grid. A generalized state space model of a typical isolated micro grid having controllable and uncontrollable generating power sources is ...
S. Kayalvizhi, D. M. Vinod Kumar
doaj   +1 more source

Deep Learning-Based Predictive Control of Vehicle-to-Grid Onboard Charger Back Stage Models

IEEE Access
To address the insufficient modeling accuracy and slow dynamic response of the Capacitor-Inductor-Inductor-Capacitor (CLLC) resonant converter in Vehicle-to-Grid (V2G) automotive onboard charger, a deep learning-based model predictive control method for ...
Yongquan Zhang, Weidong Xue, Shuaibing Li, Yongqiang Kang, Junmin Zhu, Haiying Dong   +5 more
doaj   +1 more source

Model Reference Predictive Adaptive Control for Large-Scale Soft Robots

Frontiers in Robotics and AI, 2020
Past work has shown model predictive control (MPC) to be an effective strategy for controlling continuum joint soft robots using basic lumped-parameter models.
Phillip Hyatt, Curtis C. Johnson, Marc D. Killpack   +2 more
doaj   +1 more source