We deal with the constrained fuzzy arithmetic as introduced by G.J. Klir. Its implementation represents a problem because maxima of nonlinear functions have to be found. This increases the complexity of computations in comparison to the classical calculus of fuzzy quantities. We suggest a modi ed computational procedure which allows to calculate a suboptimal (i.e., inexact) solution with an acc...

This paper presents a novel intelligent multiple-controller framework incorporating a fuzzy-logic-based switching and tuning supervisor along with a generalised learning model (GLM) for an autonomous cruise control application. The proposed methodology combines the benefits of a conventional proportional-integral-derivative (PID) controller, and a PID structure-based (simultaneous) zero and pol...

This paper describes the robust performance of fuzzy supervisory control (FSC) approach for the seismic response control of cable-stayed bridges. FSC is a hybrid control method with the hierarchical structure of several sub-controllers and fuzzy supervisor. Each sub-controller is preliminarily designed to reduce the selected response of the structure only, and a fuzzy supervisor is introduced t...

A review of different optimum flux search algorithms for loss minimization in a vector-controlled induction motor drive is presented. A fuzzy logic controller, actuating as a supervisor, is proposed to work, with reduced flux levels during transients, to optimize efficiency also in dynamic mode. Experimental results demonstrate the validity of the proposed methods.

This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and MultiInput Multi-Output (MIMO) complex systems. The proposed methodology provide...

This paper presents a supervisory control system for humanoid robot motion planning. The proposed system is a supervisory structure formed by two hierarchical levels of a discrete event system. The high level system is represented by a Petri net. This Petri net behaves as a supervisor that indicates the sequence of motions that the robot has to make. A robot walking in a closed space forms the ...

The poor performance of wood light-frame construction (WLFC) during recent hurricanes disputed the efficacy of the wood light-frame building process in high wind environments. Deficiencies observed in the wake of Hurricane Andrew (1992) in particular suggest that solutions to the problem must consider human-based factors within the building process. The objective of this thesis is to develop an...

An efficient first grasp for a wheelchair robotic arm-hand with pressure sensing is determined and presented. The grasp is learned by combining the advantages of neural networks and fuzzy logic into a hybrid control algorithm which learns from its tip and slip control experiences. Neurofuzzy modifications are outlined, and basic steps are demonstrated in preparation for physical implementation....

ACKNOWLEDGEMENT I express my sincere gratitude to my supervisor, respected Prof. Debjani Chakraborty under whose supervision and guidance this work has been carried out. Without her whole hearted involvement, advice, support and constant encouragement, it would have been impossible to carry out this project work with confidence. CERTIFICATE This is to certify that the thesis entitled " Optimizi...