Leaderboards/Adaptive Dynamic Programming Control

Adaptive Dynamic Programming Control

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Haoyan Zhang
Hangzhou DAC Biotech (China)
2
Iuliu Alexandru Zamfirache
Polytechnic University of Timişoara
3
Heng Zhao
First Affiliated Hospital of University of South China
4
Abdelhamid Bounemeur
École Normale Supérieure de Constantine
5
Wenqian Xue
University of Florida
6
Shihui Liu
Bohai University
7
Jiaxin Zhang
University of Macau
8
Haiyang Fang
Chinese University of Hong Kong
9
Boyan Zhu
Bohai University
10
Yulin Li
Nankai University

Rising Stars Papers

1
Finite-time output-feedback fault tolerant adaptive fuzzy control framework for a class of MIMO saturated nonlinear systems
International Journal of Systems Science|2024
202 cit.
2
Robust Fuzzy Adaptive Fault‐Tolerant Control for a Class of Second‐Order Nonlinear Systems
International Journal of Adaptive Control and Signal Processing|2024
115 cit.
3
Adaptive reinforcement learning-based control using proximal policy optimization and slime mould algorithm with experimental tower crane system validation
Applied Soft Computing|2024
63 cit.
4
Neural network-based adaptive critic control for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism
Information Sciences|2024
62 cit.
5
Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism
Information Sciences|2024
60 cit.
6
Zero-Sum Game-Based Decentralized Optimal Control for Saturated Nonlinear Interconnected Systems via a Data and Event Driven Approach
IEEE Systems Journal|2024
58 cit.
7
Sliding-mode surface-based adaptive optimal nonzero-sum games for saturated nonlinear multi-player systems with identifier-critic networks
Neurocomputing|2024
57 cit.
8
Adaptive Reinforcement Learning for Fault-Tolerant Optimal Consensus Control of Nonlinear Canonical Multiagent Systems With Actuator Loss of Effectiveness
IEEE Systems Journal|2024
57 cit.
9
Sliding-mode surface-based approximate optimal control for nonlinear multiplayer Stackelberg-Nash games via adaptive dynamic programming
Communications in Nonlinear Science and Numerical Simulation|2024
55 cit.
10
Adaptive optimized backstepping tracking control for full‐state constrained nonlinear strict‐feedback systems without using barrier Lyapunov function method
Optimal Control Applications and Methods|2024
55 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Shumin Lu
Nanjing University of Aeronautics and Astronautics
2
Yiting Dong
University of Electronic Science and Technology of China
3
He Jiang
China Southern Power Grid (China)
4
Humin Lei
Air Force Engineering University
5
Honghong Wang
Qingdao University
6
Shuyan Zhou
University of Shanghai for Science and Technology
7
Mariano De Paula
Universidad Nacional del Centro de la Provincia de Buenos Aires
8
Khalid H. Alharbi
King Abdulaziz University
9
He Liu
Chongqing University
10
Lei Ma
Chang'an University

Emerging Leaders Papers

1
Nonfragile Quantitative Prescribed Performance Control of Waverider Vehicles With Actuator Saturation
IEEE Transactions on Aerospace and Electronic Systems|2022
190 cit.
2
Low-Complexity Fuzzy Neural Control of Constrained Waverider Vehicles via Fragility-Free Prescribed Performance Approach
IEEE Transactions on Fuzzy Systems|2022
106 cit.
3
Dynamic event-triggered control for discrete-time nonlinear Markov jump systems using policy iteration-based adaptive dynamic programming
Nonlinear Analysis Hybrid Systems|2023
101 cit.
4
Performance Guaranteed Finite-Time Non-Affine Control of Waverider Vehicles Without Function-Approximation
IEEE Transactions on Intelligent Transportation Systems|2022
83 cit.
5
Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming
Neural Networks|2023
79 cit.
6
Sliding-mode surface-based decentralized event-triggered control of partially unknown interconnected nonlinear systems via reinforcement learning
Information Sciences|2023
74 cit.
7
Adaptive critic learning for approximate optimal event-triggered tracking control of nonlinear systems with prescribed performances
International Journal of Control|2023
68 cit.
8
Command Filter-Based Adaptive Fuzzy Self-Triggered Control for MIMO Nonlinear Systems with Time-Varying Full-State Constraints
International Journal of Fuzzy Systems|2023
66 cit.
9
Emerging mechanisms of the unfolded protein response in therapeutic resistance: from chemotherapy to Immunotherapy
Cell Communication and Signaling|2024
54 cit.
10
A Modified Compact Flexible Vivaldi Antenna Array Design for Microwave Breast Cancer Detection
Applied Sciences|2022
43 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Frank L. Lewis
The University of Texas at Arlington
2
Derong Liu
Chinese Academy of Sciences
3
Shaocheng Tong
Dalian Maritime University
4
Zhong‐Ping Jiang
New York University
5
C. L. Philip Chen
South China University of Technology
6
Guang‐Hong Yang
State Key Laboratory of Synthetical Automation for Process Industries
7
Changyin Sun
Southeast University
8
Yishay Mansour
Tel Aviv University
9
George A. Rovithakis
Aristotle University of Thessaloniki
10
Qinglai Wei
Chinese Academy of Sciences

Current Senior Leaders Papers

1
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Unknown Journal|1999
5k cit.
2
Aircraft Control and Simulation
Aircraft Engineering and Aerospace Technology|2004
3.1k cit.
3
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
Information Sciences|2014
3k cit.
4
Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
IEEE Transactions on Automatic Control|2008
2.6k cit.
5
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
IEEE Transactions on Neural Networks and Learning Systems|2017
1.9k cit.
6
Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem
Automatica|2010
1.6k cit.
7
Reinforcement learning and adaptive dynamic programming for feedback control
IEEE Circuits and Systems Magazine|2009
1.5k cit.
8
Input-to-state stability for discrete-time nonlinear systems
Automatica|2001
1.4k cit.
9
Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
Automatica|2005
1.3k cit.
10
A survey of linear singular systems
Circuits Systems and Signal Processing|1986
1.3k cit.

Indexing Adaptive Dynamic Programming Control Reagents

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