HK Lam - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
This paper reviews the stability analysis of continuous-time fuzzy-model-based (FMB) control systems, with emphasis on state-feedback control techniques, which is an essential …
This paper proposes the Virtual Reference Feedback Tuning (VRFT) of a combination of two control algorithms, Active Disturbance Rejection Control (ADRC) as a representative data …
Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer …
There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear …
KM Passino, S Yurkovich, M Reinfrank - 1998 - a-lab.ee
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing nonlinear controllers via the use of heuristic …
JSR Jang, CT Sun - Proceedings of the IEEE, 1995 - ieeexplore.ieee.org
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
H Li, J Wang, HK Lam, Q Zhou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper is concerned with the adaptive sliding mode control problem of uncertain nonlinear systems. Interval type-2 Takagi-Sugeno (TS) fuzzy model is employed to represent …
HO Wang, K Tanaka, MF Griffin - IEEE transactions on fuzzy …, 1996 - ieeexplore.ieee.org
Presents a design methodology for stabilization of a class of nonlinear systems. First, the authors represent a nonlinear plant with a Takagi-Sugeno fuzzy model. Then a model-based …
The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of …