Suchergebnisse - "Linearization Data Model"

Model-Free Predictive Current Control for PMSM Drives Using an Improved Dynamic Linearization Data Model von Zhang, Kai, Lu, Junyong, Liu, Yingquan, Ma, Jien, Qiu, Lin, Liu, Xing, Fang, Youtong

“… Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the …”
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A Discrete-time Integral Sliding Mode Predictive Control Using Iterative Dynamic Linearization Data Model von Hou, Mingdong, Pan, Weigang, Han, Yaozhen

“… The current study presents a data-driven integral sliding mode predictive control method for a category of discrete-time repetitive nonlinear systems. At …”
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Model‐free adaptive and iterative learning composite control for subway train under actuator faults von Wang, Qian, Jin, Shangtai, Hou, Zhongsheng, Gao, Guangzhuo

“… ‐related full‐form dynamic linearization data model (FFDLDM), which relies on the input, output, and faults data of the subway train system …”
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Data-driven set-point learning control with ESO and RBFNN for nonlinear batch processes subject to nonrepetitive uncertainties von Ahmad, Naseem, Hao, Shoulin, Liu, Tao, Gong, Yihui, Wang, Qing-Guo

“… Firstly, the unknown process dynamics is equivalently transformed into an iterative dynamic linearization data model (IDLDM …”
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A Discrete-time Integral Sliding Mode Control Method Based on Iterative Dynamic Linearization Data Model von Hou, Mingdong, Tian, Jie

“… First, an iterative dynamic linearization data model is established in the iterative domain based on iterative dynamic linearization technology, which is only related to the online data of the system …”
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Model complexity optimization of equivalent dynamical linearization data models used in model‐free adaptive control von Salighe, Soheil, Söffker, Dirk

“… This paper discusses a strategy for optimizing the complexity of time‐varying data models as used in model‐free adaptive control (MFAC). Here the dynamic …”
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Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault von Xiong, Shuangshuang, Hou, Zhongsheng

“… ) theory is used to transform the unknown MAS into an equivalent virtual dynamic linearization data model …”
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On Model-Free Adaptive Control and Its Stability Analysis von Hou, Zhongsheng, Xiong, Shuangshuang

“… The established dynamic linearization data model is a virtual equivalent data relationship in the I/O sense to the original nonlinear plant by means of a novel …”
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Hybrid physics-data-driven online modelling: Framework, methodology and application to electric vehicles von Chen, Hao, Lou, Shanhe, Lv, Chen

“… the Dynamic Linearization Data Model (DLDM) and Recurrent High-Order Neural Network (RHONN) are introduced for the planar dynamics modelling of the electric vehicle …”
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Data-Enabled Finite State Predictive Control for Power Converters via Adaline Neural Network von Wu, Wenjie, Qiu, Lin, Liu, Xing, Ma, Jien, Rodriguez, Jose, Fang, Youtong

“… In this regard, a dynamic-linearization data model is utilized to equivalently reformulate the governed power converter at each operation point …”
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Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology von Zhao, Huarong, Peng, Li, Yu, Hongnian

“… multi-agent systems (MASs) with switching topology and coopetition networks. The main innovation of this algorithm is to estimate an equivalent dynamic linearization data model by the pseudo partial derivative (PPD …”
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Data-Driven Event-Triggered Cooperative Control for Multiple Subway Trains With Switching Topologies von Wang, Qian, Jin, Shangtai, Hou, Zhongsheng

“… Firstly, a nonlinear subway train system is transformed into a linearization data model, and the complex nonlinear terms caused by mechanical and aerodynamic resistance and operating environment …”
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Observer‐Based Model‐Free Iterative Learning for Fault‐Tolerant Control of Nonlinear Systems von Wang, Rongrong, Chi, Ronghu

“… First, an original linearization data model (LDM) considering non‐repetitive uncertainties is established …”
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Distributed Data-Driven Control for a Connected Autonomous Vehicle Platoon Subjected to False Data Injection Attacks von Zhu, Panpan, Jin, Shangtai, Bu, Xuhui, Hou, Zhongsheng

“… In this paper, we consider the need for deployment in the long-distance safe longitudinal formation control task when the connected autonomous vehicle (CAV) …”
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Model-free adaptive iterative learning containment control for unknown heterogeneous nonlinear MASs with disturbances von Liu, Tong, Hou, Zhongsheng

“… First, the agent dynamics are transformed into a partial form dynamic linearization data model along the iteration axis by using the novel concept of the pseudo gradient …”
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Model-free adaptive fault-tolerant control for subway trains with speed and traction/braking force constraints von Wang, Haojun, Hou, Zhongsheng

“… The complex subway train dynamics is first transformed into a compact form dynamic linearization data model with the help of the concept pseudo-partial derivative (PPD …”
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Event‐Triggered Model‐Free Adaptive Predictive Control of Nonlinear Networked Control Systems With Time‐Varying Delays von Luo, Wencheng, Lu, Pingli, Liu, Haikuo

“… ‐form dynamic linearization data model is established based on the time‐varying pseudo gradient, which is calculated by adopting the input/output (I/O …”
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Data-driven predictive point-to-point iterative learning control von Zhang, Xueming, Hou, Zhongsheng

“… The advantages of this scheme are that the structure of the controller and its stability analysis both are based on an equivalent dynamic linearization data model of the nonlinear system …”
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Robust model‐free adaptive longitudinal flight control for a flapping wing micro air vehicle with wind disturbances von Yang, Zunyao, Hou, Zhongsheng, Jin, Shangtai

“… (DFFDL) is developed to transform the FWMAV with measurable disturbances into a dynamic linearization data model …”
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Observer‐Based Model‐Free Iterative Learning of Fault‐Tolerant Control for Subway Train Velocity Tracking Systems von Wang, Rongrong, Chi, Ronghu

“… and over‐velocity constrains. First, the train dynamics is transformed into an iteration‐related dynamic linearization data model …”
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