O Kaynak, K Erbatur, M Ertugnrl - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
This paper surveys how some" intelligence" can be incorporated in sliding-mode controllers (SMCs) by the use of computational intelligence methodologies in order to alleviate the well …
X Yu, O Kaynak - IEEE transactions on industrial electronics, 2009 - ieeexplore.ieee.org
Sliding-mode control (SMC) has been studied extensively for over 50 years and widely used in practical applications due to its simplicity and robustness against parameter variations …
The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many …
YC Chang, WH Hung, SC Kang - Automation in Construction, 2012 - Elsevier
This research aims to develop a method for planning the erection path automatically and efficiently. The proposed method is comprised of two steps. The first step is to convert the …
The optimisation of non-linear control systems by genetic algorithm is studied in this paper. It involves the performance of two systems for regulating the motion of a ship model. These …
In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic …
Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces …
The drawbacks of sliding mode control in terms of high control gains and chattering are overcome by incorporating fuzzy control to the switching logic. This hybrid system increases …
Principles of Scientific Methods focuses on the fundamental principles behind scientific methods. The book refers to" science" in a broad sense, including natural science, physics …