Pingping Zhu

Orcid: 0000-0002-9045-2398

According to our database1, Pingping Zhu authored at least 41 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems.
CoRR, 2024

Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints.
CoRR, 2024

A Novel Multivariate Skew-Normal Mixture Model and Its Application in Path-Planning for Very-Large-Scale Robotic Systems.
CoRR, 2024

2023
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT).
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception.
CoRR, 2023

Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022
Mitigating Routing Misbehavior in the Internet of Drones Environment.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems.
IEEE Trans. Control. Netw. Syst., 2021

Defending against Flooding Attacks in the Internet of Drones Environment.
Proceedings of the IEEE Global Communications Conference, 2021

A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Oriented Pedestrian Social Interaction Modeling and Inference.
Proceedings of the 2020 American Control Conference, 2020

2019
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets.
IEEE Trans. Autom. Control., 2019

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps.
Sensors, 2019

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking.
IEEE Trans. Control. Netw. Syst., 2018

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms.
CoRR, 2018

2017
A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems.
IEEE Trans. Robotics, 2017

Deep learning feature extraction for target recognition and classification in underwater sonar images.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Self-organizing kernel adaptive filtering.
EURASIP J. Adv. Signal Process., 2016

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.
Autom., 2016

Value function approximation for the control of multiscale dynamical systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Obtain confidentiality or/and authenticity in Big Data by ID-based generalized signcryption.
Inf. Sci., 2015

Multi-kernel probability distribution regressions.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS.
IEEE Trans. Signal Process., 2014

A Fast Searching Approach for Top-k Partner Selection in Dynamic Alliances of Virtual Enterprises.
J. Comput., 2014

Optimized visibility motion planning for target tracking and localization.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013
Quantized Kernel Recursive Least Squares Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2013

Fixed budget quantized kernel least-mean-square algorithm.
Signal Process., 2013

Analysis on extended kernel recursive least squares algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A parameter-free kernel design based on cumulative distribution function for correntropy.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Kernel recurrent system trained by real-time recurrent learning algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Survival Information Potential: A New Criterion for Adaptive System Training.
IEEE Trans. Signal Process., 2012

Quantized Kernel Least Mean Square Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2012

Mean square convergence analysis for kernel least mean square algorithm.
Signal Process., 2012

A novel extended kernel recursive least squares algorithm.
Neural Networks, 2012

2011
Extended Kalman filter using a kernel recursive least squares observer.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
Scaled AAN for Fixed-Point Multiplier-Free IDCT.
EURASIP J. Adv. Signal Process., 2009

Fixed-point IDCT without multiplications based on B.G. Lee's algorithm.
Digit. Signal Process., 2009


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