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A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process
International Journal of Fuzzy Systems, 2020In this paper, we present a fuzzy PID control system as a combination of a fuzzy PID controller and a fuzzy control process, which is represented by a fuzzy control differential equation in linear form. We use the concepts of the generalized Hukuhara differentiability and the fuzzy integral of fuzzy-valued functions to study some qualitative properties
Nguyen Dinh Phu +3 more
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2018
In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
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In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
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Stability analysis of fuzzy control systems
Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 1996A discrete-time fuzzy control system which is composed of a dynamic fuzzy model and a fuzzy state feedback controller is proposed. Stability of the fuzzy control system is discussed and a sufficient condition to guarantee the stability of the system is given in terms of uncertain linear system theory.
S G, Cao, N W, Rees, G, Feng
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Adaptive fuzzy control systems
Proceedings Electronic Technology Directions to the Year 2000, 2002Computer based process control systems have been used successfully for a number of years. However, these systems are often highly mathematical, are difficult to understand and implement, and are also inflexible. Fuzzy logic was developed in the early to mid 1960s by Lotfi Zadeh as an alternative to these complex traditional computer control schemes ...
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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.
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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
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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
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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
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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
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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
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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.
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