Results 301 to 310 of about 4,922,677 (347)
Some of the next articles are maybe not open access.
On Fuzzy Control of Chaotic Systems
Journal of Vibration and Control, 2004In this paper, we introduce the control of the strange attractor, chaos. Because of the importance of controlling undesirable behavior in systems. researchers are investigating the use of linear and nonlinear controllers, either to remove such oscillations (in power systems) or to match two chaotic systems (in secure communications). The idea of using
Harb, Ahmad M., Smadi, Issam A.
openaire +2 more sources
IEEE transactions on fuzzy systems, 2019
For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper.
Liang Cao, Hongyi Li, Ning Wang, Qi Zhou
semanticscholar +1 more source
For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper.
Liang Cao, Hongyi Li, Ning Wang, Qi Zhou
semanticscholar +1 more source
Fuzzy Control for Networked Control System
Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced.
Zhi-yi Sun, Chao-Zhen Hou
openaire +1 more source
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems.
Jianwei Xia +4 more
semanticscholar +1 more source
Event-Triggered Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems
IEEE transactions on fuzzy systems, 2019This paper considers a robust adaptive fuzzy control problem for a class of uncertain nonlinear systems via an event-triggered control strategy. Fuzzy logic systems are used to approximate the unknown nonlinear functions in the nonlinear system.
Anqing Wang +3 more
semanticscholar +1 more source
Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), 2007
This paper considers the robust fault tolerant fuzzy control problem for continuous-time nonlinear systems with time-delay and actuator faults. The Takagi- Sugeno (T-S) fuzzy model is employed to approximate a nonlinear uncertain system with time-delay. Based on actuator fault model, a fuzzy observer-based fuzzy controller is developed.
Tiechao Wang, Shuo Tong, Shaocheng Tong
openaire +1 more source
This paper considers the robust fault tolerant fuzzy control problem for continuous-time nonlinear systems with time-delay and actuator faults. The Takagi- Sugeno (T-S) fuzzy model is employed to approximate a nonlinear uncertain system with time-delay. Based on actuator fault model, a fuzzy observer-based fuzzy controller is developed.
Tiechao Wang, Shuo Tong, Shaocheng Tong
openaire +1 more source
Fuzzy Sets Syst., 2019
This paper focuses on the issue of network-based fuzzy control for nonlinear Markov jump systems with unreliable communication links. The nonlinear system under consideration is described by a Takagi–Sugeno (T–S) fuzzy model through corresponding fuzzy ...
Meng Zhang +4 more
semanticscholar +1 more source
This paper focuses on the issue of network-based fuzzy control for nonlinear Markov jump systems with unreliable communication links. The nonlinear system under consideration is described by a Takagi–Sugeno (T–S) fuzzy model through corresponding fuzzy ...
Meng Zhang +4 more
semanticscholar +1 more source
HUMAN FUZZY CONTROL MODEL AND ITS APPLICATION TO FUZZY CONTROL SYSTEM DESIGN
IFAC Proceedings Volumes, 1989This paper proposes a Fuzzy Control Model (FCM) for a human operator in a man-machine-environment systems by means of fuzzy set theroy on the basis of human thinking activities (concepts, judgements, inferences and decisions). The FCM suggested in the paper can be used to simulate the control activity of driver, pilot or operator in aircraft, vehicle ...
Long Shengzhao, J.G. Kreifeldt
openaire +1 more source
On controllability and observability of fuzzy control systems
2018Summary: In order to more effectively cope with the real world problems of vagueness, imprecise and subjectivity, fuzzy event systems were proposed recently. In this paper, we investigate the controllability and the observability property of two systems that one of them has fuzzy variables and the other one has fuzzy coefficients and fuzzy variables ...
Mastiani, Roya, Effati, Sohrab
openaire +2 more sources
Fuzzy control as a fuzzy deduction system
Fuzzy Sets and Systems, 2001The author gives a new and interesting translation strategy for linguistic control rules of the form: \textit{if} \(x\) is \(A\) \textit{then} \(y\) is \(B\). He reads them as: \( A(x) \land B(y) \to\text{ good} (x,y) \) with a new predicate \textit{good} expressing globally the control quality.
openaire +2 more sources