61–80 von 110 Ergebnissen
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    Stochastic DP Based on Trained Database for Sub-optimal Energy Management of Hybrid Electric Vehicles

    Abdrakhmanov, Rustem / Adouane, Lounis | Springer Verlag | 2019
    Schlagwörter: Markov decision process

    Lz-transform: Definition, Main Properties and Examples

    Bolvashenkov, Igor / Herzog, Hans-Georg / Ismagilov, Flyur et al. | Springer Verlag | 2019
    Schlagwörter: Discrete-state continuous-time Markov process

    A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones

    Aslansefat, Koorosh / Marques, Francisco / Mendonça, Ricardo et al. | Springer Verlag | 2019
    Schlagwörter: Markov models

    Operational Availability Investigation of Multi-drive Electric Propulsion System of the Arctic Gas Tanker with Ice Class Arc7

    Bolvashenkov, Igor / Herzog, Hans-Georg / Ismagilov, Flyur et al. | Springer Verlag | 2019
    Schlagwörter: Markov model

    Predicting Digging Success for Unmanned Aircraft System Sensor Emplacement

    Plowcha, Adam / Sun, Yue / Detweiler, Carrick et al. | Springer Verlag | 2020
    Schlagwörter: Markov Decision Process

    Asynchronous Quantized Control for Markov Switching Systems with Channel Fading

    Cheng, Jun / Shan, Yaonan / Park, Ju H. | Springer Verlag | 2020
    Schlagwörter: Markov switching systems

    Event-Triggered Sliding Mode Control for Stochastic Markov Jump Systems

    Qi, Wenhai | Springer Verlag | 2020
    Schlagwörter: Stochastic Markov jump systems

    Fault-Tolerant Sampled-Data Synchronization of Chaotic Systems with Random Occurring Uncertainties: A Semi-Markov Jump Model Approach

    Xia, Yude / Wang, Yudong / Wang, Jing et al. | Springer Verlag | 2020
    Schlagwörter: Semi-Markov jump model

    An Accurate Prediction Method for Airport Operational Situation Based on Hidden Markov Model

    Zhang, Xintai / Xie, Yanwen / Zhang, Yaping et al. | Springer Verlag | 2020
    Schlagwörter: Hidden markov model

    Finite-Time Synchronization Control for Markovian Jump Memristive Neural Networks with Reaction-Diffusion Terms

    Song, Xiaona / Man, Jingtao / Song, Shuai | Springer Verlag | 2020
    Schlagwörter: Inconsistent Markov chains

    Dynamic Maintenance Decision Model for Essential Equipment of Metro Based on Markov Chain

    Wu, Jun / Xu, Yongneng | Springer Verlag | 2020
    Schlagwörter: Markov chain

    Railway Capacity Calculation in Emergency Using Modified Fuzzy Random Optimization Methodology

    Wang, Li / An, Min / Jia, Limin et al. | Springer Verlag | 2020
    Schlagwörter: Fuzzy Markov chain

    Research on PHM Evaluation of Point Machine with State Transition Variable Weight

    Wu, Minzhe / Li, Zhipeng | Springer Verlag | 2020
    Schlagwörter: Markov state transition contingency model

    An Introduction to Imprecise Markov Chains

    Krak, Thomas | Springer Verlag | 2020
    Schlagwörter: Imprecise Markov chains

    Estimate of Railway Line Capacity Under Adverse Operation Condition

    Xu, Jie / Liang, Mengdi / Wang, Yanhui | Springer Verlag | 2020
    Schlagwörter: Markov chain model

    A Modified Design Framework Based on Markov Decision Process for Operational Evaluation

    Yuan, Hao / Singer, David J. | Springer Verlag | 2020
    Schlagwörter: Ship-Centric Markov Decision Process

    A Prediction Precision Inference Method for Passenger Alighting Station Based on the Condition Hypothesis

    Li, Fan / Li, Qingquan / Huang, Zhao et al. | Springer Verlag | 2020
    Schlagwörter: Variable order Markov model

    Queuing at Intersections

    Ni, Daiheng | Springer Verlag | 2020
    Schlagwörter: Markov process

    Modeling Motorcycle Maneuvering in Urban Scenarios Using Markov Decision Process with a Dynamical-Discretized Reward Field

    Mardiati, Rina / Trilaksono, Bambang Riyanto / Wibowo, Sony Sulaksono et al. | Springer Verlag | 2021
    Schlagwörter: Markov decision process

    Control Strategy for an Electromechanical Transmission Vehicle Based on a Double Markov Process

    Liu, Hui / Xu, Riming / Han, Lijin et al. | Springer Verlag | 2021
    Schlagwörter: Double Markov model