Intelligent automation and soft computing

World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Valentina E Balas

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

Since Prof. Lotfi Zadeh initiated, Soft Computing (SC) techniques have been used as a suitable approach for developing intelligent systems. SC is a collection of methodologies that are trying to cope with the main disadvantage of the conventional (hard) computing: The poor performances when working in uncertain conditions. The fundamental idea of soft computing is to emulate the human like reasoning. The SC systems are tolerant to imprecision, uncertainty, and partial truth. Due to this nature SC is exploited as a good approach to achieve the goal of developing intelligent systems. At the same time SC is a major developing vector of the Artificial Intelligence. Control systems are at the core of industrial applications. These include manufacturing systems, transportation applications, instrumentation, renewable energy and many other applications. In the last decade, our team proposed some research projects using soft computing methods for highly nonlinear processes. We developed many reasoning-based designs of intelligent systems and practical applications. This talk is focused on the conception, development and implementation of SC methodologies and presents a wide domain of applications.