Robotic systems are complicated, nonlinear, multiple-input multiple-output (MIMO) systems, which make the design of model-based controllers for robotic systems particularly difficult. Moreover, to achieve reasonable control performance, the dynamic coupling effects between degrees of freedom (DOFs) of the robotic systems must be overcome during the control process. Although a model-free, self-o...

The binary states, i.e., success or failed state assumptions used in conventional reliability are inappropriate for reliability analysis of complex industrial systems due to lack of sufficient probabilistic information. For large complex systems, the uncertainty of each individual parameter enhances the uncertainty of the system reliability. In this paper, the concept of fuzzy reliability...

This paper presents an indirect adaptive fuzzy control scheme for a class of unknown multi-input multi-output (MIMO) nonlinear systems with external disturbances. Within this scheme, the dynamic fuzzy logic system (DFLS) is employed to identify the unknown nonlinear MIMO systems. The control law and parameter adaptation laws of DFLS are derived based on the Lyapunov synthesis approach. The cont...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

In this paper, a novel method for the establishment of a sliding mode in a nonlinear system is presented. The method discussed aims to minimize a cost measure, which is a function of the switching sugace. For this purpose, an adaptive fuzzy controller is selected and the parameters of the defuuifier are adjusted such that the cost is minimized and the system is enforced to behave in sliding mod...

Crisp comparison matrices produce crisp weight estimates. It is logical for an interval or fuzzy comparison matrix to give an interval or fuzzy weight estimate. In this paper, an eigenvector method (EM) is proposed to generate interval or fuzzy weight estimate from an interval or fuzzy comparison matrix, which differs from Csutora and Buckley’s LambdaMax method in several aspects. First, the pr...

In this paper, we will consider the application of notions and techniques from fuzzy logic, fault trees, and Markov modeling to robot fault tolerance. Fuzzy logic lends itself to quantitative reliability calculations in robotics. The crisp failure rates which are usually used are not actually known, while fuzzy logic, due to its ability to work with the actual approximate (fuzzy) failure rates ...

The paper presents a synthesis of the problematic and actual solutions to the implementation of robotic programmer control functionality using DSP controllers. Considerable technology shift occurred during the recently decade in device programming industry. The advent of high performance DSP motion controllers opens new possibilities for the development of high performance distributed intellige...

in this article, a speed control of dc motor is designed and illustrated using fuzzy logic-based programmable logic controller (plc). the dc motor is an attractive part of electrical equipment in many industrial applications requiring variable speed and load specifications due to its ease of controllability. the designed system is consisted of three main parts including programmable logic contr...