This paper proposes a fuzzy PID control method for deburring industrial robots. The adaptive fuzzy PID controller relates to the trajectory and joint angular parameters of the end-effector on a robot. The PID controller parameters update online at each sampling time to guarantee trajectory accuracy of the end-effector. The simulation of the fuzzy PID control is provided based on the 6-DOF debur...

The purpose of this paper is to study the fuzzy fractional differentialequations. We prove that fuzzy fractional differential equation isequivalent to the fuzzy integral equation and then using this equivalenceexistence and uniqueness result is establish. Fuzzy derivative is considerin the Goetschel-Voxman sense and fractional derivative is consider in theRiemann Liouville sense. At the end, we...

The use of fuzzy control systems had been proved to be very useful for industrial applications. Fuzzy modeling is an area where an overwhelming number of techniques for non-linear function approximation have been developed but there is a lack of handy information for the end user in industry. The present paper deals with this topic by helping the end user with issues like when and how to use fu...

This paper studies methods to implement IP protocol to wireless sensor networks. Recent studies show that compressed IPv6 protocol is feasible option to enable end-to-end connectivity between sensor nodes and establish Internet connectivity. Resource consuming and complex IP protocol is not efficient way to communicate in sensor networks, but it is well understood and has several good features ...

In this paper, the authors have proposed Fuzzy Cost Metric based Adaptive (FCMA) routing protocols for WSNs. Residual energy, Congestion level and Connectivity parameters have been used to calculate the fuzzy routing cost in order to decide the forwarding node. The results obtained indicate that the proposed FCMA protocols reduce the energy consumption and latency and increase the lifetime of t...

This article presents an agent-based fuzzy cognitive map (ABFCM) developed injecting the concept of multi-agent system (MAS) into the fuzzy cognitive map (FCM). Fuzzy cognitive map is used for qualitative modeling and simulation. Compared to the FCM, the ABFCM enables different inference algorithms in each node enabling simulation of systems with diverse behavior concepts. Each map node can exh...

One of the fundamental problems in wireless sensor networks (WSNs) is localization that forms the basis for many location aware applications. Localization in WSNs is to determine the physical position of sensor node based on the known positions of several nodes. In this paper, a range free, enhanced weighted centroid localization method using edge weights of adjacent nodes is proposed. In the p...

Because of the non-uniform cluster-head election in the classical clustering algorithm, some nodes maybe exhaust energy prematurely so that it is not fit for large-scale wireless sensor networks(WSNs). In this paper, a distributed clustering routing algorithm based on fuzzy weight attribute degree(FWAD) is proposed. The direct methodology of fuzzy engineering theory is adopted to assign relevan...

In recent years, routing has been the most focused area in ad hoc networks research. On-demand routing in particular, is widely developed in bandwidth constrained mobile wireless ad hoc networks because of its effectiveness and efficiency. Most proposed on-demand routing protocols are built and relied on single route for each data session. Whenever there is a link disconnection on the active ro...

In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision unit is based on Adaptive Resonance Theory (ART), which is a simple kind of neural networks. The Fuzzy ART neural network used in this work is an ART neural network that accepts analog inputs. A Fuzzy ART neural network ...