Q. P. Chu

3.9k citations

139 papers · 2.9k indexed · 1 hit paper · h-index 29

Impact in

Control and Systems Engineering top 0.5%
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
Aerospace Engineering top 0.5%
- Aerospace and Aviation Technology
- Guidance and Control Systems

Papers in

Control and Systems Engineering 90
- Adaptive Control of Nonlinear Systems 41
- Control Systems and Identification 36
- Fault Detection and Control Systems 29
- Real-time simulation and control systems 12
Aerospace Engineering 89
- Aerospace and Aviation Technology 44
- Inertial Sensor and Navigation 24
- Guidance and Control Systems 15

Co-authors: J.A. Mulder Erik-Jan Van Kampen Coen C. de Visser Laurens Van Eykeren Thomas Lombaerts Guido de Croon Diederick Joosten Lars Sonneveldt
Journals: Journal of Guidance Control and Dynamics (26 papers)Control Engineering Practice (7 papers)Journal of Spacecraft and Rockets (3 papers)NAVIGATION Journal of the Institute of Navigation (1 paper)Progress in Aerospace Sciences (1 paper)
Partner nations: Netherlands China United States

In The Last Decade

Q. P. Chu

131 papers receiving 2.8k citations

Hit Papers

align trajectories log scale

Robust Flight Control Using Incremental Nonlinear Dynamic Inversion and Angular Acceleration Prediction 2010 · 360 citations

Peers

Countries citing papers authored by Q. P. Chu

Since Specialization

Citations

This map shows the geographic impact of Q. P. Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Q. P. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q. P. Chu more than expected).

Fields of papers citing papers by Q. P. Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q. P. Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Q. P. Chu. The network helps show where Q. P. Chu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Q. P. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Q. P. Chu Line = papers co-authored together Q. P. Chu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Flexible Privacy-Preserving Data Computing With Bilateral Access Control for Cloud-Assisted IoT IEEE Transactions on Dependable and Secure Computing ·Lisa Rahmi, Jie Chen, Jianting Ning, Q. P. Chu, Luping Wang, Guang Zhang	2025	0
2	Tightly secure (H)IBE in the random oracle model Theoretical Computer Science ·Q. P. Chu, Jie Chen	2024	2
3	Partially-hiding functional encryption for degree-2 polynomials with fine-grained access control Frontiers of Computer Science ·Haifeng Qian, Luay E. Al-Khurri, Q. P. Chu, Jie Chen	2024	0
4	Inner‐Product Matchmaking Encryption: Bilateral Access Control and Beyond Equality IET Information Security ·Q. P. Chu, Anmin Fu, Haifeng Qian, Jie Chen	2023	2
5	<p>Return-forecasting and Volatility-forecasting Power of On-chain Activities in the Cryptocurrency Market<b></b></p> SSRN Electronic Journal ·Andrew Wilbur, Onatunji Olufemi, Q. P. Chu	2023	0
6	Improved Stewart platform state estimation using inertial and actuator position measurements Control Engineering Practice ·Liangyu Yan, Daan M. Pool, Olaf Stroosma, M. M. van Paassen, Q. P. Chu	2017	17
7	Hierarchically Structured Controllers for Safe UAV Reinforcement Learning Applications 炳杰黄, Erik-Jan Van Kampen, Coen C. de Visser, Q. P. Chu	2017	1
8	A novel online model-based wind estimation approach for quadrotor micro air vehicles using low cost MEMS IMUs Kirsten Andersen, Guido de Croon, Christophe De Wagter, Q. P. Chu	2016	29
9	Efficient Methods for Flight Envelope Estimation through Reachability Analysis AIAA Guidance, Navigation, and Control Conference ·Jork Stapel, Coen C. de Visser, Erik-Jan Van Kampen, Q. P. Chu	2016	18
10	Using iterated extended Kalman Filtering for estimation of a hexapod flight simulator motion state Research Repository (Delft University of Technology) ·Liangyu Yan, Daan M. Pool, Olaf Stroosma, Q. P. Chu, M. M. van Paassen	2015	2
11	Sensor Fault Detection and Isolation for Redundant Air Data Sensors AIAA Guidance, Navigation, and Control Conference ·Laurens Van Eykeren, Q. P. Chu	2014	2
12	An acceleration measurements-based approach for helicopter nonlinear flight control using Incremental Nonlinear Dynamic Inversion Control Engineering Practice ·Pedro Simplício, Marilena Pavel, Erik-Jan Van Kampen, Q. P. Chu	2013	150
13	Attitude Determination of Highly Dynamic Fixed-wing UAVs with GPS/MEMS-AHRS integration AIAA Guidance, Navigation, and Control Conference ·X.-D. Wang, Erik-Jan Van Kampen, Q. P. Chu	2012	11
14	Immersion and Invariance Based Nonlinear Adaptive Flight Control AIAA Guidance, Navigation, and Control Conference ·Lars Sonneveldt, Esraa Mohamed Sayed, Q. P. Chu, J.A. Mulder	2010	23
15	Neural Network Output Optimization Using Interval Analysis IEEE Transactions on Neural Networks ·Elwin de Weerdt, Q. P. Chu, J.A. Mulder	2009	59
16	Continuous State-Action Space Advantage-Learning Using Interval Analysis and Neural Networks AIAA Guidance, Navigation and Control Conference and Exhibit ·Elwin de Weerdt, Q. P. Chu, J.A. Mulder	2007	4
17	NONLINEAR ROBUST MODEL PREDICTIVE CONTROL FOR LIFTING BODY RE-ENTRY FLIGHT ATTITUDE CONTROL IFAC Proceedings Volumes ·B. Giovanini, Q. P. Chu, J.A. Mulder	2007	0
18	Real Time Damaged Aircraft Model Identification for Reconfiguring Flight Control AIAA Atmospheric Flight Mechanics Conference and Exhibit ·Thomas Lombaerts, Q. P. Chu, J.A. Mulder, Diederick Joosten	2007	33
19	Fuzzy Logic Based Flight Control of the Atmospheric Re-entry Crew Return Vehicle ESASP ·Shufan Wu, Q. P. Chu, C Suttora, Robert Babuška, Miranda K. Robinson, Guillermo J. Ortega	2000	2
20	Nonlinear Dynamic Modeling and Simulation of the Re-entry Crew Return Vehicle Vivona, R. R. Costa, Q. P. Chu, Miranda K. Robinson, V Herzog	2000	4

About Q. P. Chu

Q. P. Chu is a scholar working on Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 139 papers that have together received 2.9k indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (44 papers), Adaptive Control of Nonlinear Systems (41 papers), Control Systems and Identification (36 papers), Fault Detection and Control Systems (29 papers), Target Tracking and Data Fusion in Sensor Networks (24 papers), Inertial Sensor and Navigation (24 papers), Guidance and Control Systems (15 papers) and Real-time simulation and control systems (12 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Aerospace Engineering (1.8k citations), Statistics, Probability and Uncertainty (144 citations), Computational Theory and Mathematics (232 citations) and Artificial Intelligence (434 citations). Q. P. Chu has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include J.A. Mulder, Erik-Jan Van Kampen, Coen C. de Visser, Laurens Van Eykeren, Thomas Lombaerts, Guido de Croon, Diederick Joosten, Lars Sonneveldt, Ewoud J. J. Smeur and Pedro Simplício. Their work appears in journals such as Journal of Guidance Control and Dynamics, Control Engineering Practice, Journal of Spacecraft and Rockets, NAVIGATION Journal of the Institute of Navigation and Progress in Aerospace Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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