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simulink modeling  (MathWorks Inc)


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    Structured Review

    MathWorks Inc simulink modeling
    Simulink Modeling, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 885 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/controller+simulink+model/Simulink+Control+Design/pm41741716-347-5-5
    Average 96 stars, based on 885 article reviews
    simulink modeling - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    Control:

    Article Title: Efficient speed and voltage regulation of BLDC motor drive for EV applications using a multi-device interleaved DC-DC bidirectional converter with TIFDNFD-SFOA controller.
    Article Snippet: .. The design and control implementations were analyzed and simulated using the MATLAB/Simulink environment. ..

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: .. This section presents the full state transition design of the Fallback and Safe-Mode Management System (FSMS), implemented as a Stateflow® chart within the Simulink® control environment and subsequently embedded for real-time execution on the VCU. ..

    Article Title: A novel Fibonacci sequence-based motion profile
    Article Snippet: .. To verify the effectiveness and feasibility of the motion profile design method proposed in this paper, a unified closed-loop velocity control model was established in MATLAB/Simulink. ..

    Article Title: Fault Detection and Monitoring in Induction Machines Using Data-Driven Model Drift Detection
    Article Snippet: The motor is driven by a custom-designed Variable Speed Drive (VSD) developed at the university laboratory, which utilizes a Texas Instruments TMS320F28388D DSP to command a two-level voltage-source inverter. .. Regarding the software implementation, MATLAB R2024a and Simulink 24.1 were used to design, compile, and deploy the discrete-time control algorithms onto the VSD’s embedded processor. ..

    Article Title: Fault Detection and Monitoring in Induction Machines Using Data-Driven Model Drift Detection.
    Article Snippet: The motor is driven by a custom-designed Variable Speed Drive (VSD) developed at the university laboratory, which utilizes a Texas Instruments TMS320F28388D DSP to command a two-level voltage-source inverter. .. Regarding the software implementation, MATLAB R2024a and Simulink 24.1 were used to design, compile, and deploy the discrete-time control algorithms onto the VSD’s embedded processor. ..

    Software:

    Article Title: Fault Detection and Monitoring in Induction Machines Using Data-Driven Model Drift Detection
    Article Snippet: The motor is driven by a custom-designed Variable Speed Drive (VSD) developed at the university laboratory, which utilizes a Texas Instruments TMS320F28388D DSP to command a two-level voltage-source inverter. .. Regarding the software implementation, MATLAB R2024a and Simulink 24.1 were used to design, compile, and deploy the discrete-time control algorithms onto the VSD’s embedded processor. ..

    Article Title: Fault Detection and Monitoring in Induction Machines Using Data-Driven Model Drift Detection.
    Article Snippet: The motor is driven by a custom-designed Variable Speed Drive (VSD) developed at the university laboratory, which utilizes a Texas Instruments TMS320F28388D DSP to command a two-level voltage-source inverter. .. Regarding the software implementation, MATLAB R2024a and Simulink 24.1 were used to design, compile, and deploy the discrete-time control algorithms onto the VSD’s embedded processor. ..



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    Image Search Results


    The block diagram of the height adjustment control system for the shearer.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: The block diagram of the height adjustment control system for the shearer.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques: Blocking Assay, Control

    Transfer function block diagram of the self-adaptive height adjustment control system.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Transfer function block diagram of the self-adaptive height adjustment control system.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques: Blocking Assay, Control

    Simplified schematic diagram of shearer height adjustment hydraulic system.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Simplified schematic diagram of shearer height adjustment hydraulic system.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    3D solid model of shearer height adjustment mechanism.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: 3D solid model of shearer height adjustment mechanism.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    Algorithm architecture of the hydraulic height adjustment system for the shearer based on DDPG.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Algorithm architecture of the hydraulic height adjustment system for the shearer based on DDPG.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    Simulink model of height adjustment system.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Simulink model of height adjustment system.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    The DDPG-based self-adaptive hydraulic height adjustment system model for the shearer (Model I).

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: The DDPG-based self-adaptive hydraulic height adjustment system model for the shearer (Model I).

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    The AMEsim model of the hydraulic system of the shearer electro-hydraulic proportional height adjustment.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: The AMEsim model of the hydraulic system of the shearer electro-hydraulic proportional height adjustment.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    Self-adaptive hydraulic height adjustment model of shearer based on DDPG (Model II).

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Self-adaptive hydraulic height adjustment model of shearer based on DDPG (Model II).

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques:

    Self-adaptive height adjustment test system platform.

    Journal: PLOS One

    Article Title: Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient

    doi: 10.1371/journal.pone.0329347

    Figure Lengend Snippet: Self-adaptive height adjustment test system platform.

    Article Snippet: This includes the selection of action space and state space, the establishment of the height adjustment system Simulink model, the creation of the RL Agent model, and the design and selection of the reward function.

    Techniques: