A distributed intelligent discrete-event environment for autonomous agents simulation
Applied system simulation
A 3-level autonomous mobile robot navigation system designed by using reasoning/search approaches
Robotics and Autonomous Systems
Development of a fuzzy-nets-based surface roughness prediction system in turning operations
Computers and Industrial Engineering
Roadmap methods vs. cell decomposition in robot motion planning
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Roadmap methods vs. cell decomposition in robot motion planning
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Robot motion planning using generalised voronoi diagrams
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Advances in Engineering Software
Proceedings of the 46th Annual Southeast Regional Conference on XX
Geometric data structures approximations for network optimisation problems
MAMECTIS'09 Proceedings of the 11th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Expert Systems with Applications: An International Journal
cDNA microarray image processing using fuzzy vector filtering framework
Fuzzy Sets and Systems
Control and Intelligent Systems
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Relaxation of roadmap methods of robot motion planning
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Robust-and-evolvable resilient software systems: open problems and lessons learned
Proceedings of the 8th workshop on Assurances for self-adaptive systems
International Journal of Advanced Intelligence Paradigms
Knowledge base learning control system - part 1: generic architecture
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Knowledge base learning control system - part 2: intelligent controller
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
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From the Publisher:In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes.The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology.Suited as both a textbook and a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and providestudents with a tool for solving the examples and exercises within the book.