Results 31 to 40 of about 619,157 (157)
Comparison of Linear MPC and Explicit MPC for Battery Cell Balancing Control
AlgorithmsThis paper presents and compares two model predictive control (MPC) approaches for battery cell state-of-charge (SOC) balancing. In both approaches, a linearized discrete-time model that takes into account individual cell capacities is used.
Wanqun Yang, Jun Chen
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Model-Predictive Quantum Control via Hamiltonian Learning
IEEE Transactions on Quantum Engineering, 2022 This article proposes an end-to-end framework for the learning-enabled control of closed quantum systems. The proposed learning technique is the first of its kind to utilize a hierarchical design, which layers probing control, quantum state tomography ...
MAISON CLOUATRE +2 more
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Recursive feasibility without terminal constraints via parent–child MPC architecture
Results in Control and OptimizationThis paper introduces a novel hierarchical model predictive control (MPC) framework, called the Parent–Child MPC architecture, designed to ensure recursive feasibility without relying on terminal constraints.
Filip Surma, Anahita Jamshidnejad
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Enhancing Strong Neighbor-Based Optimization for Distributed Model Predictive Control Systems
Mathematics, 2018 This paper considers a class of large-scale systems which is composed of many interacting subsystems, and each of them is controlled by an individual controller.
Shan Gao, Yi Zheng, Shaoyuan Li
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Convex model predictive control for collision avoidance
IET Control Theory & Applications, 2021 This manuscript proposes a model predictive control for collision avoidance for the regulation problem of deterministic linear systems, which provides a priori guarantees of strong system theoretic properties, such as positive invariance and asymptotic ...
Saša V. Raković +4 more
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Observer-based model predictive control [PDF]
International Journal of Control, 2004 Model predictive control in combination with discrete time non-linear observer theory is studied in this paper. Model predictive control, generally based on state space models, needs the complete state for feedback. In this paper the complete state is assumed not to be known and only outputs and inputs of the system are measured. To obtain knowledge of
Roset, B.J.P., Nijmeijer, H.
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An Extended Model Predictive-Sliding Mode Control for Three-Level AC/DC Power Converters
Pakistan Journal of Engineering & Technology, 2020 In the proposed approach, an Extended Model Predictive Sliding Mode Controller (EMPSMC) was designed to control three-level AC / DC power converters for better dynamic performance and better achievement.
Muhammad Jamshed Abbass +5 more
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Model Predictive Control in Greenhouses
, 2022 It is a somewhat general consensus that the agricultural production process has begun over 12,000 years ago somewhere in the Middle East region. The development of this activity can be explained in several ways, but all boils down to the necessity of hunter-gatherer-based humans to reduce their dependence on the whims of nature.
Coelho, João Paulo +1 more
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Improved Distributed Model Predictive Control with Control Planning Set
Journal of Control Science and Engineering, 2016 We focus on distributed model predictive control algorithm. Each distributed model predictive controller communicates with the others in order to compute the control sequence.
Wei Chen
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LLMPC: Large Language Model Predictive Control
ComputersRecent advancements in planning prompting techniques for Large Language Models have improved their reasoning, planning, and action abilities. This paper develops a planning framework for Large Language Models using model predictive control that enables ...
Gabriel Maher
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