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Journal ArticleDOI

Switching-type fuzzy sliding mode control of a cart–pole system

Tzuu-Hseng S. Li, +1 more
- 01 Feb 2000 - 
- Vol. 10, Iss: 1, pp 91-109
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TLDR
In this article, a switching-type fuzzy sliding mode controller for the cart-pole system is proposed, which makes a vertical pole straight up and regulates the position of the cart simultaneously.
About
This article is published in Mechatronics.The article was published on 2000-02-01. It has received 72 citations till now. The article focuses on the topics: Sliding mode control & Variable structure control.

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Citations
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Journal ArticleDOI

Sliding-Mode Control With Soft Computing: A Survey

TL;DR: The state of the art of recent developments in SMC systems with SC is provided, examining key technical research issues and future perspectives.
Journal ArticleDOI

Design of a stable sliding-mode controller for a class of second-order underactuated systems

TL;DR: In this article, a stable hierarchical sliding-mode control method for a class of second-order underactuated systems is presented, which can drive the subsystems toward their sliding surfaces and attain their desired values, and implement antidisturbance control.
Journal ArticleDOI

Adaptive sliding mode fuzzy control for a two-dimensional overhead crane

TL;DR: An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane, combining SMC's robustness and FLC's independence of system model, for both X- direction transport and Y-direction transport.
Journal ArticleDOI

Fuzzy target tracking control of autonomous mobile robots by using infrared sensors

TL;DR: The theme of this paper is to design a real-time fuzzy target tracking control scheme for autonomous mobile robots by using infrared sensors, which consists of a behavior network and a gate network.
Journal ArticleDOI

Design of interval type-2 fuzzy sliding-mode controller

TL;DR: The proposed IT2FSMC is a combination of the interval type-2 fuzzy logic control (IT2FLC) and the sliding-mode control (SMC) which inherits the benefits of these two methods and achieves the best tracking performance in comparison with the type-1 Fuzzy logic controller (T1FLC), the IT 2FLC, and thetype-1 fuzzy sliding- mode controller ( T1FSMC).
References
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Book

Applied Nonlinear Control

TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Journal ArticleDOI

Fuzzy logic in control systems: fuzzy logic controller. II

TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and 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.
Journal Article

Fuzzy logic in control systems : fuzzy logic controller. Part II

TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
Journal ArticleDOI

Variable structure control: a survey

TL;DR: A tutorial account of variable structure control with sliding mode is presented, introducing in a concise manner the fundamental theory, main results, and practical applications of this powerful control system design approach.
Book

neural networks and fuzzy systems a dynamical systems approach to machine intelligence

TL;DR: This work combines neural networks and fuzzy systems, presenting neural networks as trainable dynamical systems and developing mechanisms and principles of adaption, self-organization, convergence and global stability.