Now showing items 1-6 of 6
Real-time implementation of an intelligent diagnostic and control system for bioreactors
Bioprocesses often require considerable expertise to insure proper operation and performance. However, they are also rich in both data and factual knowledge. Supervision and control can be improved by utilizing information ...
Application of back-propagation neural networks to the modeling and control of multiple-input, multiple-output processes
Certain properties of back-propagation neural networks have been found to be useful in structuring models for multiple-input, multiple-output (MIMO) processes. The network's simplicity and its ability to identify the ...
Genetic algorithm tuning of a fuzzy logic controller for a dynamic system
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy logic based controller. The basic mechanics of both the fuzzy logic control system and the genetic algorithm are presented ...
Control of serial and parallel robots: Analysis and implementation
The research presented in this thesis is categorized into two areas. In the first part we address the issue of uniform boundedness of the elements of the equations of motion of serial robots, an important issue for the ...
A path planning and obstacle avoidance hybrid system using a connectionist network
Automated path planning and obstacle avoidance has been the subject of intensive research in recent times. Most efforts in the field of semiautonomous mobile-robotic navigation involve using Artificial Intelligence search ...
A study of neural networks in thermal systems
Neural networks have been found to be useful as a technique for the modeling of non-linear functions or processes that involve several variables. The primary goal of this thesis is to explore the feasibility of applying ...