in this paper, an optimal adaptive fuzzy integral sliding mode control is presented to control the robot manipulator position tracking in the presence of uncertainties and permanent magnet dc motor. in the proposed control, sliding surface of the sliding mode control is defined according to the information of position tracking error, derivatives, and error integral. in order to estimate bounds ...

Linguistic expressions like: high rate of unemployment, or high migration level etc., are very often used in life and in statistics. The goal of this research is to capture these expressions and make them suitable for database queries and classification tasks. This paper shows differences between usual and fuzzy approaches in database queries and classification and points out advantages of the ...

AQnncf-Present fuzzy system visualisations while being useful, have been ad hoc in nature. I n this paper we present a new integrated task-oriented approach to the visualisation of fuzzy logic systems. In addition, this approach is incorporated into an agent-based software architecture to guide the user through the process of developing a fuzzy logic System visualisation. A case study then illu...

Uncertainty and variability are always to some extent present in numerical simulations. Especially in the model definition phase, lack of information, scatter in material properties or environmental conditions imply that a designer should incorporate the possible effects of this non-determinism into the design procedure. This can be achieved by incorporation of the non-determinism in the numeri...

Human-Computer Interaction with the traditional User Interface is done using a specified in advance script dialog “menu”, mainly based on human intellect and unproductive use of navigation. This approach doesn’t lead to making qualitative decision in control systems, where the situations and processes cannot be structured in advance. Any dynamic changes in the controlled business process (as ex...

In this paper, a new reinforcement learning scheme is developed for a class of serial-link robot arms. Traditional reinforcement learning is the problem faced by an agent that must learn behavior through trial-and-error interactions with a dynamic environment. In the proposed reinforcement learning scheme, an agent is employed to collect signals from a 0xed gain controller, an adaptive critic e...

There are various types of uncertainty in the real world. This is a motivation to investigate the behavior of uncertain phenomena. Random phenomena is one class of objective uncertain phenomena which has been well studied. Probability theory is an efficient tool to study the behavior of random phenomena. Besides randomness, fuzziness is a basic type of subjective uncertainty initiated by Zadeh....

This study established the fuzzy logic modeling of the stochastic finite element method based on the first-order approximation theorem. Fuzzy mathematical models of safety repertories were incorporated into the stochastic finite element method to analyze the stability of embankments and foundations in order to describe the fuzzy failure procedure for the random safety performance function. The ...