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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
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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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Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE transactions on fuzzy systems, 2001H. Tuan +3 more
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Fuzzy Networked Control Systems
2017This chapter provides fuzzy feedback design methods for classes of networked control systems (NCS). The chapter is divided into three parts: 1. The fuzzy control designs using state feedback and observer-based feedback for linear systems connected over a common digital communication network are addressed.
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Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System
IEEE Transactions on Cybernetics, 2016Ning Wang +3 more
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2012
Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for a variety of challenging control applications since it provides methods ...
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Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for a variety of challenging control applications since it provides methods ...
openaire +1 more source