Results 321 to 330 of about 4,505,718 (403)
Some of the next articles are maybe not open access.

Fault-Tolerant Fuzzy Control for Semi-Markov Jump Nonlinear Systems Subject to Incomplete SMK and Actuator Failures

IEEE transactions on fuzzy systems, 2021
This article focuses on the problem of fuzzy-model-based fault-tolerant control for nonlinear semi-Markov jump systems in the discrete-time context. The discrete-time semi-Markov process is employed to describe the mode jumping among several subsystems ...
Hao Shen   +4 more
semanticscholar   +1 more source

Fuzzy tracking control of fuzzy linear dynamical systems

ISA Transactions, 2020
This paper deals with the fuzzy tracking control problem of a class of uncertain linear dynamical systems. In the uncertain linear dynamical system the uncertainty is considered as fuzzy numbers. This kind of uncertain linear dynamic systems is called fuzzy linear dynamic systems which are expressed in the form of a fuzzy differential equations system.
Seyed Mohammad Mehdi, Abbasi   +1 more
openaire   +2 more sources

Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints

IEEE Transactions on Cybernetics, 2020
This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of
Wei Sun   +4 more
semanticscholar   +1 more source

Fuzzy logic in control systems: fuzzy logic controller. I

IEEE Transactions on Systems, Man, and Cybernetics, 1990
For pt.I see ibid., vol.20, no.2, p.404-18, 1990. The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined. Several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated ...
openaire   +1 more source

Fuzzy systems in instrumentation: fuzzy control

Proceedings of 1995 IEEE Instrumentation and Measurement Technology Conference - IMTC '95, 2002
This paper presents a short overview of fuzzy control and discusses fuzzy partition in comparison with classical A/D and dither quantification.
E.M. Petriu, G. Eatherley
openaire   +1 more source

Fixed-Time Fuzzy Control for a Class of Nonlinear Systems

IEEE Transactions on Cybernetics, 2020
Fixed-time tracking control is considered for a class of nonlinear systems in this article. Different from the conventional literature on fixed-time control studies, in this article, the nonlinearities of systems are all completely unknown.
Yumei Sun   +4 more
semanticscholar   +1 more source

Fuzzy Optimal Control for Multistage Fuzzy Systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011
In the case that a system is affected by fuzzy factors, a fuzzy optimal-control problem is proposed. A fuzzy optimal-control problem for a multistage fuzzy system is considered to optimize the expected value of a fuzzy objective function subject to a multistage fuzzy system where, at every stage, the system is disturbed by a fuzzy variable.
openaire   +2 more sources

Singularity-Free Fixed-Time Fuzzy Control for Robotic Systems With User-Defined Performance

IEEE transactions on fuzzy systems, 2020
In this article, the singularity-free adaptive fuzzy fixed-time control problem is studied for an uncertain n-link robotic system with the position tracking error constraint.
Yingnan Pan, Peihao Du, Hong Xue, H. Lam
semanticscholar   +1 more source

Finite-Time Fuzzy Control of Stochastic Nonlinear Systems

IEEE Transactions on Cybernetics, 2020
This paper studies the finite-time stabilization of a class of stochastic nonlinear systems. Different from functions which are necessarily known in the conventional finite-time control of nonlinear systems, the nonlinear functions can be completely ...
F. Wang   +4 more
semanticscholar   +1 more source

Fuzzy Control Systems

2009
Fuzzy control systems are developed based on fuzzy set theory, attributed to Lotfi A. Zadeh (Zadeh, 1965, 1973), which extends the classical set theory with memberships of its elements described by the classical characteristic function (either “is” or “is not” a member of the set), to allow for partial membership described by a membership function ...
Guanrong Chen, Young Hoon Joo
openaire   +1 more source

Home - About - Disclaimer - Privacy