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Toward Dependable Embedded Model Predictive Control
2017
IEEE Systems Journal
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This paper surveys the state-of-the-art in the emerging field of dependable embedded MPC, and discusses some key challenges related to its design, implementation and verification. ...
A novel result is the study of a simulator-based performance monitoring and control selection method that monitors and predicts MPC performance and switches to a highly reliable backup controller in cases ...
For example MPC may be designed as a failcontrolled system that can fail in specific failure modes, [52] . ...
doi:10.1109/jsyst.2014.2368129
fatcat:ciuterdo5vbsdgm2sx5tryaxlm
Novel DC Capacitor Voltage Balancing Strategy of Modular Multilevel Converter based STATCOM for Reactive Power Compensation and Voltage Improvement
2023
International Journal on Recent and Innovation Trends in Computing and Communication
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In this research, a novel DC capacitor voltage balancing strategy is proposed for MMC-Statcom to ensure optimal operation and enhanced performance. ...
Overall, this study presents a significant advancement in MMC-Statcom technology, providing an effective solution for reactive power compensation and voltage improvement while ensuring reliable and stable ...
Another variation is the dual-stagebased MPC [19] , where the first stage aims to determine the optimal voltage level, while the second stage selects the switching states using a separate MPC approach ...
doi:10.17762/ijritcc.v11i10.10078
fatcat:ukkxuvk7mncotmrwwbvlpwf5wa
Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches
2024
Journal of Sensor and Actuator Networks
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Thus, in this paper, we present a review of the current state-of-the-art in ISTMGs with a focus on energy trading, energy management systems (EMS), and optimization techniques for effective energy management ...
The deployment of isolated microgrids has witnessed exponential growth globally, especially in the light of prevailing challenges faced by many larger power grids. ...
This dual strategy was designed to address the uncertainties tied to generation and demand in ISTMGs. ...
doi:10.3390/jsan13020020
fatcat:rcgyxwdapfc7jhwxsgeoo7hcli
Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas
2016
Processes
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We also propose multiple control algorithms for embedded AP, with special emphasis on model predictive control and its variants due to several important qualities: namely, design flexibility in terms of ...
Challenges involved in the design, implementation and validation of safety-critical embedded model predictive controllers for the AP application are discussed in detail. ...
Robust tube-based MPC formalisms, such as those studied in [145, 146] , can then be used to construct Q-MPCs for nonlinear systems that ensure ultimate boundedness or robust stability in a closed-loop ...
doi:10.3390/pr4040035
fatcat:vfqszubc2rfwdc7r7l27jkaxjy
Observer-based Predictive Control of Nonlinear Clutchless Automated Manual Transmission for Pure Electric Vehicles: an LPV Approach
2021
IEEE Access
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This study develops a novel robust control approach for a nonlinear clutchless automated manual transmission (CAMT) in pure electric vehicles. ...
The stability of the online-designed MPC and the offline-designed observer, as well as the overall closed-loop system, is guaranteed by presenting the quadratic Lyapunov function stability conditions in ...
In this paper, a novel observer-based MPC design method is proposed to deal with the inexactly measured scheduling parameters for the nonlinear CAMT systems represented by polytopic LPV systems. ...
doi:10.1109/access.2021.3054370
fatcat:kcv5l6nmfvbonosx664il6punm
A Review of Flywheel Energy Storage System Technologies
2023
Energies
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It concludes by summarizing future directions and trends in FESS research, offering valuable information for further advancement and improvement in this field. ...
Using energy storage technology can improve the stability and quality of the power grid. One such technology is flywheel energy storage systems (FESSs). ...
ensure that superconductors remain below their critical temperatures ...
doi:10.3390/en16186462
fatcat:g4zazegzwjet5hrsp65epyauxi
All you need to know about model predictive control for buildings
2020
Annual Reviews in Control
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to tackle the MPC problems in the context of building climate control. ...
and robustness of MPC. ...
Project 1 develops and demonstrates a BIM/GIS and Modelica Framework for building and community energy system design and operation. This ...
doi:10.1016/j.arcontrol.2020.09.001
fatcat:iy2rnh7w2jgotewxgbkix2uy5u
Survey on Wheel Slip Control Design Strategies, Evaluation and Application to Antilock Braking Systems
2020
IEEE Access
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Additionally, a comprehensive set of manoeuvres were deployed to assess the performance and robustness of the proposed NMPC design. ...
Motivated by the state of the art, as a case study, a nonlinear model predictive control (NMPC) design based on a new load-sensing technology was developed. ...
This paper contributes to the current literature by introducing a critical overview and analysis of the state of the art in ABS control design (Section II). ...
doi:10.1109/access.2020.2965644
fatcat:mgoqkxmsczdxla6daj4ocm7azm
IEEE Access Special Section Editorial: Advanced Energy Storage Technologies and Their Applications
2020
IEEE Access
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In the article ''A novel approach to the optimization of a solid oxide fuel cell anode using evolutionary algorithms,'' Buchaniec et al. introduce evolutionary algorithms to optimize the design of the ...
The simulation results are supported by systematic experiments on eight cells at different aging states. This study provides critical guidance on the design of battery packs. ...
doi:10.1109/access.2020.3036556
fatcat:ev6dgf277bfr5dr3r3cyfxrbna
Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press
2021
Processes
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A quality-by-control (QbC) approach has been implemented in a variety of pharmaceutical product manufacturing modalities to increase product quality through a three-level hierarchical control structure ...
In the implementation of the QbC approach it is common practice to simplify control algorithms by utilizing linearized models with constant model parameters. ...
To address this requirement, a quality-by-design (QbD) approach was pursued over the last decade [9] . ...
doi:10.3390/pr9091612
pmid:36776491
pmcid:PMC9912115
fatcat:bskvywuxujf33otyo5p7sj6wsq
Deep Reinforcement Learning Car-Following Control Based on Multivehicle Motion Prediction
2024
Electronics
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Once integrated into the RL framework, this module enables the agent to account for dynamic changes in the traffic environment, enhancing its robustness. ...
Simultaneously, it maintains the desired traffic state and consistently ensures a stable and efficient traffic flow. ...
Modifications to the TD3 algorithm ensure that the strategy is adaptive to potential uncertainties in future traffic conditions, which improves the robustness of the algorithm. ...
doi:10.3390/electronics13061133
fatcat:hm5yopr2n5fkzaeqexodbqq4wq
Approximate dynamic programming approach for process control
2010
Journal of Process Control
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In this talk, we assess the potentials of the approximate dynamic programming (ADP) approach for process control, especially as a method to complement the model predictive control (MPC) approach. ...
We explore different options within ADP design, such as the pre-decision state vs. post-decision state value function, parametric vs. nonparametric value function approximator, batch-mode vs. continuous-mode ...
Though not discussed in this paper, there are a number of other application areas within process industries where ADP can prove to be a valuable tool, including resource allocation and inventory management ...
doi:10.1016/j.jprocont.2010.06.007
fatcat:z3duyycwffhb5bfeaheiqkrhrm
Approximate dynamic programming approach for process control
2009
IFAC Proceedings Volumes
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In this talk, we assess the potentials of the approximate dynamic programming (ADP) approach for process control, especially as a method to complement the model predictive control (MPC) approach. ...
We explore different options within ADP design, such as the pre-decision state vs. post-decision state value function, parametric vs. nonparametric value function approximator, batch-mode vs. continuous-mode ...
Though not discussed in this paper, there are a number of other application areas within process industries where ADP can prove to be a valuable tool, including resource allocation and inventory management ...
doi:10.3182/20090712-4-tr-2008.00006
fatcat:4zpn5klcujgxdfk6ubmjc6h6py
An Approach to Autonomous Control for Space Nuclear Power Systems
[chapter]
2011
Nuclear Power - Control, Reliability and Human Factors
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Autonomous control is needed to address these challenges and optimize the reactor control design. ...
This capability is critical because it will not be possible to rely upon continuous, immediate human interaction for control due to communications delays and periods of planetary occlusion. ...
The corresponding reactivity changes (drum angle variations) are shown in Figure 6b . The MPC approach was shown to provide a fast response and robustness under changing system conditions. ...
doi:10.5772/19257
fatcat:dattuevtkje4jmiiww7rr2efnq
Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures
2020
Energies
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The traditional numerical analysis is insufficient to identify research trends. Therefore, the need of further analyses based on the clustering approach is emphasized. ...
analysis framework with five classification levels) to establish the main trends in the field of centralized energy management systems (EMS) for microgrids. ...
The centralized approach needs a representation of the critical stability aspects related to operational decisions. ...
doi:10.3390/en13030547
fatcat:uuipq5ykifa2rd7iu7woifwvra
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