Due to several reasons, changing conditions in the environment do not always lead to changes in the traffic control units. The hypothesis of this research is that it may be useful to make use of self evaluating and self organising intelligent (urban) traffic control systems. In this research we focus on the applicability of autonomous intelligent agents within urban traffic control (i.e. traffi...

based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. however, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. to resolve this problem, hybridization of the fuel cell and energy storage device...

Modern power systems require increased intelligence and flexibility in control and optimization. This issue is becoming more significant today due to the increasing size, changing structure, emerging renewable energy sources and Microgrids, environmental constraints, and the complexity of power systems. The control units and their associated tuning methods for modern power systems surely must b...

this paper concerns a study on the optimal control for nonlinear systems. an appropriate alternative in order to alleviate the nonlinearity of a system is the exact linearization approach. in this fashion, the nonlinear system has been linearized using input-output feedback linearization (iofl). then, by utilizing the well developed optimal control theory of linear systems, the compensated nonl...

This paper proposes a robot oriented Mobile Intelligent Agent Model-MIAM, composed of core function, mobile ability, intelligent engine and communication interfaces, which provide flexible multi-mode robot control solutions for intelligent control and remote control.

magnetorheological (mr) dampers have the advantage of being tuned by low voltages. this has attracted many researchers to develop semi-active control of structures in theory and practice. most of the control strategies first obtain the desired forces of dampers without taking their dynamics into consideration and then determine the input voltages according to those forces. as a result, these st...

Continuous motorization and urbanization around the globe leads to an expansion of population in major cities. Therefore, ever-growing pressure imposed on the existing mass transit systems calls for a better technology, Intelligent Transportation Systems (ITS), to solve many new and demanding management issues. Many studies in the extant ITS literature attempted to address these issues within w...

The integration of Artificial Neural Network (ANN) learning and Fuzzy Logic (FL) approximate reasoning in one architecture, to overcome individual limitations and achieve synergetic effects through hybridization of these techniques, has in recent years contributed to a large number of Neuro-Fuzzy (NF) architectures. NF techniques override the classical control methods in many aspects, such as a...

The extensively used shaft furnace in the ore concentration industry is an important facility that turns the weak-magnetic low-grade hematite ore into strong-magnetic one. During the operation of the shaft furnace roasting process, the optimal control objective is to control the technique indices, namely the magnetic tube recovery ratio (MTRR) that represents the quality, the efficiency, and th...

The integration of the Artificial Neural Network (ANN) and Fuzzy Logic (FL) in one architecture in order, to overcome the individual limitations and to achieve synergetic effects through a combination of these techniques, has a in recent years contributed to a large number of Neuro-Fuzzy (NF) architectures. NF techniques override the classical control methods in many aspects, such as algorithm ...