State Estimation of an Underwater Markov Chain Maneuvering Target Using Intelligent Computing
暂无分享,去创建一个
Raja Muhammad Asif Zahoor | Ya'an Li | Wasiq Ali | Wasim Ullah Khan | Yigang He | Yigang He | Ya'an Li | R. Zahoor | Wasiq Ali
[1] Raja Muhammad Asif Zahoor,et al. Novel design of Morlet wavelet neural network for solving second order Lane-Emden equation , 2020, Math. Comput. Simul..
[2] Muhammad Tariq,et al. Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics , 2016, Neural Computing and Applications.
[3] Huajun Liu,et al. Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network , 2019, Sensors.
[4] Tianmiao Wang,et al. A positional error compensation method for industrial robots combining error similarity and radial basis function neural network , 2019, Measurement Science and Technology.
[5] Jae Weon Choi,et al. Improved IMM Filter for Tracking a Highly Maneuvering Target with Mixed System Noises , 2018 .
[6] Hamid Khaloozadeh,et al. Modification of Standard Kalman Filter Based on Augmented Input Estimation and Deadbeat Dissipative FIR Filtering , 2020 .
[7] Jiaying Lin,et al. Advanced state estimation for navigation of automated vehicles , 2018, Annu. Rev. Control..
[8] M. Eladawy,et al. Prediction of the true harmonic current contribution of nonlinear loads using NARX neural network , 2017, Alexandria Engineering Journal.
[9] Peng Shi,et al. Bayesian State Estimation for Markovian Jump Systems: Employing Recursive Steps and Pseudocodes , 2019, IEEE Systems, Man, and Cybernetics Magazine.
[10] Zhe Chen,et al. Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking , 2019, Entropy.
[11] Jie Zhou,et al. State Estimation for Dynamic Systems With Unknown Process Inputs and Applications , 2018, IEEE Access.
[12] Ali Karsaz,et al. Innovative Hybrid Backward Input Estimation and Data Fusion for High Maneuvering Target Tracking , 2019 .
[13] Shafayat Abrar,et al. A low-complexity interacting multiple model filter for maneuvering target tracking , 2017 .
[14] Jun Hu,et al. On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism , 2020, Inf. Sci..
[15] Raja Muhammad Asif Zahoor,et al. Intelligent computing to solve fifth-order boundary value problem arising in induction motor models , 2018, Neural Computing and Applications.
[16] Raja Muhammad Asif Zahoor,et al. Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model , 2016, Neural Computing and Applications.
[17] Dumitru Baleanu,et al. A new stochastic computing paradigm for the dynamics of nonlinear singular heat conduction model of the human head , 2018, The European Physical Journal Plus.
[18] Dariu M. Gavrila,et al. Human motion trajectory prediction: a survey , 2019, Int. J. Robotics Res..
[19] Huan Wang,et al. Target tracking strategy using deep deterministic policy gradient , 2020, Appl. Soft Comput..
[20] Ngoc Hung Nguyen,et al. Instrumental Variable Based Kalman Filter Algorithm for Three-Dimensional AOA Target Tracking , 2018, IEEE Signal Processing Letters.
[21] Rene V. Mayorga,et al. A Soft Computing Approach for group decision making: A supply chain management application , 2020, Appl. Soft Comput..
[22] E. Cadenas,et al. Enhanced Prediction of Solar Radiation Using NARX Models with Corrected Input Vectors , 2020, Energies.
[23] Abdul-Majid Wazwaz,et al. Neuro-heuristics for nonlinear singular Thomas-Fermi systems , 2018, Appl. Soft Comput..
[24] W. Waseem,et al. Investigation of singular ordinary differential equations by a neuroevolutionary approach , 2020, PloS one.
[25] Muhammad Asif Zahoor Raja,et al. Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery–Hamel flow , 2018, Journal of the Taiwan Institute of Chemical Engineers.
[26] Iraklis Lazakis,et al. Application of NARX neural network for predicting marine engine performance parameters , 2020, Ships and Offshore Structures.
[27] Ayaz Hussain Bukhari,et al. Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations , 2020 .
[28] Weixin Xie,et al. Constrained Multiple Model Particle Filtering for Bearings-Only Maneuvering Target Tracking , 2018, IEEE Access.
[29] Hamid Khayyam,et al. Autonomous Vehicles: Autodriver Algorithm and Vehicle Dynamics , 2019, IEEE Transactions on Vehicular Technology.
[30] Maulin Joshi,et al. Energy Efficient NARX Model for Target Tracking in Wireless Sensor Network , 2018, 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
[31] Farooq Ashraf,et al. Bio-inspired computational heuristics to study Lane–Emden systems arising in astrophysics model , 2016, SpringerPlus.
[32] Gregory L. Plett,et al. Postprocessing the outputs of an interacting multiple-model Kalman filter using a Markovian trellis to estimate parameter values of aged Li-ion cells , 2020 .
[33] Shaolin Hu,et al. Effect of Faults on Kalman Filter of State Vectors in Linear Systems , 2019 .
[34] Halil Ersin Soken,et al. A new likelihood approach to autonomous multiple model estimation. , 2020, ISA transactions.
[35] Muhammad Awais,et al. Neuro-evolutionary computing paradigm for Painlevé equation-II in nonlinear optics , 2018, The European Physical Journal Plus.
[36] Junhai Luo,et al. Underwater Acoustic Target Tracking: A Review , 2018, Sensors.
[37] Raja Muhammad Asif Zahoor,et al. An intelligent computing technique to analyze the vibrational dynamics of rotating electrical machine , 2017, Neurocomputing.
[38] Raja Muhammad Asif Zahoor,et al. Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming , 2019, Neural Computing and Applications.
[39] Raja Muhammad Asif Zahoor,et al. Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models , 2018, Appl. Soft Comput..
[40] Edward Boje,et al. A Hybrid, Coupled Approach to the Continuous-Discrete Kalman Filter , 2021, IEEE Control Systems Letters.
[41] Jiao Peng,et al. Application of NARX Dynamic Neural Network in Quantitative Investment Forecasting System , 2019 .
[42] Abdul-Majid Wazwaz,et al. Nature-inspired computing approach for solving non-linear singular Emden–Fowler problem arising in electromagnetic theory , 2015, Connect. Sci..
[43] Kausar Jahan,et al. Implementation Of underwater target tracking techniques for Gaussian and non-Gaussian environments , 2020, Comput. Electr. Eng..
[44] Nauman Ahmed,et al. Generalized pseudo Bayesian algorithms for tracking of multiple model underwater maneuvering target , 2020 .
[45] Jiaming Chen,et al. NARX Prediction-Based Parameters Online Tuning Method of Intelligent PID System , 2020, IEEE Access.