H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 65 Citations 12,427 283 World Ranking 408 National Ranking 20

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to analysis and design of fuzzy model-based control systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His primary areas of study are Control theory, Fuzzy control system, Fuzzy logic, Nonlinear system and Control theory. The study incorporates disciplines such as Filter and Interval in addition to Control theory. His Fuzzy control system research includes themes of Control system, Exponential stability, Fuzzy number, Mathematical optimization and Stability conditions.

His Fuzzy logic research includes elements of Dynamical systems theory and Exponential stabilization. His Nonlinear control study in the realm of Nonlinear system connects with subjects such as Fault detection and isolation, Piecewise and Markov process. The Control theory study which covers Lyapunov function that intersects with Operations research.

His most cited work include:

  • Tuning of the structure and parameters of a neural network using an improved genetic algorithm (604 citations)
  • Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity (281 citations)
  • Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems (271 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Control theory, Fuzzy control system, Fuzzy logic, Control theory and Nonlinear system. The concepts of his Control theory study are interwoven with issues in Mathematical optimization and Stability conditions. His work in Fuzzy control system tackles topics such as Interval which are related to areas like Type.

Many of his studies on Fuzzy logic apply to Exponential stability as well. Hak-Keung Lam interconnects Linear matrix inequality, Actuator and Stability theory in the investigation of issues within Control theory. His studies in Nonlinear system integrate themes in fields like Discrete time and continuous time and Applied mathematics.

He most often published in these fields:

  • Control theory (67.71%)
  • Fuzzy control system (50.56%)
  • Fuzzy logic (49.89%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (67.71%)
  • Fuzzy control system (50.56%)
  • Fuzzy logic (49.89%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Control theory, Fuzzy control system, Fuzzy logic, Control theory and Nonlinear system. In his study, which falls under the umbrella issue of Control theory, Relaxed stability is strongly linked to Stability conditions. His study in Fuzzy control system is interdisciplinary in nature, drawing from both Stability, Lyapunov function, Interval, Applied mathematics and Positive polynomial.

His study explores the link between Fuzzy logic and topics such as Control system that cross with problems in Fuzzy model. His work in Control theory covers topics such as Synchronization which are related to areas like Teleoperation. His Nonlinear system research is multidisciplinary, incorporating elements of Discrete time and continuous time and Affine transformation.

Between 2018 and 2021, his most popular works were:

  • Fault Detection for Fuzzy Semi-Markov Jump Systems Based on Interval Type-2 Fuzzy Approach (62 citations)
  • Fuzzy Output Tracking Control and Filtering for Nonlinear Discrete-Time Descriptor Systems Under Unreliable Communication Links (56 citations)
  • New Stability Criterion for Continuous-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delay (51 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

Hak-Keung Lam mainly focuses on Control theory, Fuzzy control system, Control theory, Fuzzy logic and Nonlinear system. In general Control theory study, his work on Lyapunov function and Sliding mode control often relates to the realm of Markov process and Reaction–diffusion system, thereby connecting several areas of interest. His Fuzzy control system research integrates issues from Stability, Stability criterion, Time derivative and Applied mathematics.

Hak-Keung Lam combines subjects such as Isolator, Asynchronous communication and Interval with his study of Control theory. His work deals with themes such as Acceleration, Lyapunov stability, Filter and Transmissibility, which intersect with Fuzzy logic. His Nonlinear system research is multidisciplinary, relying on both Control system, Algorithm, Actuator and Reinforcement learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Tuning of the structure and parameters of a neural network using an improved genetic algorithm

F.H.F. Leung;H.K. Lam;S.H. Ling;P.K.S. Tam.
IEEE Transactions on Neural Networks (2003)

959 Citations

Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity

Hongyi Li;Yabin Gao;Peng Shi;Hak-Keung Lam.
IEEE Transactions on Automatic Control (2016)

332 Citations

Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems

Hongyi Li;Xingjian Jing;Hak-Keung Lam;Peng Shi.
IEEE Transactions on Systems, Man, and Cybernetics (2014)

318 Citations

Stability Analysis of Interval Type-2 Fuzzy-Model-Based Control Systems

H.K. Lam;L.D. Seneviratne.
systems man and cybernetics (2008)

307 Citations

Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications

S.H. Ling;H.H.C. Iu;K.Y. Chan;H.K. Lam.
systems man and cybernetics (2008)

286 Citations

Fault Detection for T-S Fuzzy Time-Delay Systems: Delta Operator and Input-Output Methods

Hongyi Li;Yabin Gao;Ligang Wu;H. K. Lam.
IEEE Transactions on Systems, Man, and Cybernetics (2015)

257 Citations

Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems

Hongyi Li;Jiahui Wang;Hak-Keung Lam;Qi Zhou.
systems man and cybernetics (2016)

257 Citations

Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems

Hao Shen;Feng Li;Huaicheng Yan;Hamid Reza Karimi.
IEEE Transactions on Fuzzy Systems (2018)

249 Citations

Event-Triggered Fault Detection of Nonlinear Networked Systems

Hongyi Li;Ziran Chen;Ligang Wu;Hak-Keung Lam.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

248 Citations

Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching

H. K. Lam;Hongyi Li;Christian Deters;E. L. Secco.
IEEE Transactions on Industrial Electronics (2014)

248 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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