Fuzzy logic system

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems. The proposed controller is a combination of a type 2 fuzzy logic system and a cerebellar model articulation controller.

10p viling 11-10-2024 2 0   Download

Traffic control decisions for incident congestion management on expressways are often made in the face of uncertainty because it entails using many forms of both current and predicted traffic data and incident information to arrive at control decisions under critical-time pressure.

16p vibecca 01-10-2024 0 0   Download

A Knowledge-based Decision Support System (KB-DSS) based on a multi-stage Fuzzy Logic Controller (MS-FLC) is developed for traffic congestion management on expressways. In a case study, the KB-DSS is evaluated on a simulated network in comparison to ALINEA\Q, a popular ramp control method, across various traffic and incident situations.

15p vibecca 01-10-2024 1 0   Download

Intrusion Detection (ID) is one of the active branches in network security research field. Many technologies, such as neural networks, fuzzy logic and genetic algorithms have been applied in intrusion detection and the results are varied. In this thesis, an Artificial Immune System (AIS) based intrusion detection is explored. AIS is a bio-inspired computing paradigm that has been applied in many different areas including intrusion detection.

74p runthenight07 01-03-2023 8 2   Download

Research objectives of the thesis: Research the theories of complex fuzzy sets, complex fuzzy logic and measures based on complex fuzzy sets; research and development of fuzzy inference system based on complex fuzzy sets; research applied techniques to reduce rules, optimize fuzzy rules in complex fuzzy inference system; research on how to represent rules based on fuzzy knowledge graphs to reduce inference computation time for the test set and deal with the cases where the new dataset is not present in the training data set.

27p beloveinhouse01 15-08-2021 15 4   Download

The purpose of the topic Researching and building models of regional-linked hydropower turbine speed control system. Research on building regional-linked hydroelectric turbine speed control system on the basis of fuzzy logic and artificial neural networks to improve control quality.

27p hobbsandshaw 09-06-2021 32 5   Download

This paper proposes a fuzzy adaptive second order sliding mode controller for 2D overhead crane model to improve the quality of position tracking, anti-swing in case existence of external disturbances. The sliding surface parameters are adjusted by a fuzzy logic system to change the sliding surface in order to track faster and make the payload oscillation smaller. The simulation results show that the system quality is improved and the applicability of the proposed controller in industrial practice.

8p thithizone1 18-07-2019 18 1   Download

In this paper, we present obstacles avoidance and altitude control algorithms based on fuzzy sets and possibilities distributions to control the blimp’s complexity and main behaviors of the system.

7p cathydoll5 27-02-2019 25 3   Download

(BQ) The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments.

10p xuanphuongdhts 27-03-2017 54 3   Download