Nonlinear Benchmark Problem Yi Guo , David J. Hill , Zhong-Ping Jiang Department of Electrical Engineering The University of Sydney, NSW 2006, AUSTRALIA Email: [email protected], [email protected], [email protected] Abstract| In this paper, we study the fuzzy dissipativity design method and apply it to the nonlinear benchmark problem. By representing the nonlinear system with a dynamica...

The time-varying nature of the parameters influencing the Quality of service (QoS) of real-time applications means the Call Admission Control (CAC) in LTE networks has to deal with some degree of uncertainty. The existing approaches fail to properly manage this uncertainty. A model is proposed to effectively manage real-time traffic via the deployment of a Type-1 Fuzzy Logic Controllers (FLCs)....

The authors have been involved in developing an automated inspection system, based on machine vision, to improve the repair coating quality control (RCQ control) in can ends of metal containers for fish food. The RCQ of each end is assesed estimating its average repair coating quality (ARCQ). In this work we present a fuzzy model building to make the acceptance/rejection decision for each can e...

The thin-disc piezoceramic-driving ultrasonic actuator dedicated to a stepping ultrasonic motor is proposed. The mechanical hysteresis and dead-zone phenomena are automatically compensated by a closed loop servo control, i.e. Fuzzy Sliding-Mode Control (FSMC), for position tracking. The controller design of FSMC has syncretized the fuzzy reasoning and sliding mode control with robust stability ...

In view of the multi-source uncertainty disturbance problem during flight control, attitude autopilot based on fuzzy linear active rejection control (F-LADRC) was proposed. A second-order controller designed to stabilize angle missiles, and frequency domain characteristics were analyzed. Firstly, it proved that expansion state observer (LESO) is convergent can achieve indifference estimation sy...

This paper, presents a new image segmentation method based on Wavelets, Particle Swarm Optimization (PSO) and outlier rejection caused by the membership function of the kernel fuzzy local information c-means (KFLICM) algorithm combined with level set is proposed. The segmentation of Magnetic Resonance (MR) images plays an important role in the computer-aided diagnosis and clinical research, but...

Received Apr 8, 2017 Revised Sep 8, 2017 Accepted Sep 25, 2017 Some image’s regions have unbalance information, such as blurred contour, shade, and uneven brightness. Those regions are called as ambiguous regions. Ambiguous region cause problem during region merging process in interactive image segmentation because that region has double information, both as object and background. We proposed a...

In this paper, first a new algorithm for pole assignment of closed-loop multi-variable controllable systems in a prescribed region of the z-plane is presented. Then, robust state feedback controllers are designed by implementing a neural fuzzy system for the placement of closed-loop poles of a controllable system in a prescribed region in the left-hand side of z-plane. A new method based on the...