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Aggregated fuzzy control systems
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002A multi-resolutional approach in generating a hierarchical and aggregated fuzzy system description is provided. The process includes aggregation of the fuzzy sets describing the control system as well as the aggregation of the rules that map a collection of fuzzy set to another set.
L. Acar +3 more
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IEEE transactions on fuzzy systems, 2020
This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are
Wei Sun, Yuqiang Wu, Zong-yao Sun
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This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are
Wei Sun, Yuqiang Wu, Zong-yao Sun
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IEEE transactions on fuzzy systems, 2019
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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Fuzzy Control and Filtering for Nonlinear Singularly Perturbed Markov Jump Systems
IEEE Transactions on Cybernetics, 2020This article addresses the $H_{\infty } $ control and filtering problems for Markov jump singularly perturbed systems approximated by Takagi–Sugeno fuzzy models.
Yue-ying Wang +3 more
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Fuzzy implication in fuzzy systems control
Fuzzy Sets and Systems, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multivariable Structure of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Application of fuzzy set theory to the design of control systems has led to interest in the description of multivariable fuzzy systems. The authors present an idea for the solution of multivariable fuzzy equations by decomposition of a multivariable fuzzy system into a set of one- dimensional systems. The authors use the block diagram representation of
Gupta, Madan M. +2 more
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of high-order stochastic nonstrict feedback nonlinear systems with full-state constraints.
Wei Sun, S. Su, Guowei Dong, Weiwei Bai
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This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of high-order stochastic nonstrict feedback nonlinear systems with full-state constraints.
Wei Sun, S. Su, Guowei Dong, Weiwei Bai
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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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