This paper presents a robust control scheme for nonlinear TCP time-delay dynamic network systems. By introducing the interference and time-delay to improve the nonlinear model, the objective of the work described here was to express various interference and time-delay factors in the actual network running environment. Using proper coordinate transformation, evaluation signal and energy storage ...

This book is aimed at researchers with backgrounds in dynamic systems and control and for use in an advanced graduate-level course. The main subjects cover knowledge acquisition, representation, and utilization in unknown nonlinear dynamic processes using a deterministic framework. This model of information processing, known as deterministic learning, is developed and used for problems of nonli...

The Behavior of conventional braced frames, are not the same in tension and compression. This problem can be improved by prevention of buckling under compressive loads, which is called buckling restrained brace(BRB). In this field TTD metal damper also have much attention due to simplicity in construction and execution. This damper is recommended because of accessing to better performance than ...

In this study, the effect of deep excavation on the seismic response of RC moment resisting building systems has been studied. Deep excavation can cause significant changes in the stress and strain levels of soil environment and also changes in the propagation of seismic waves. This leads to permanent displacements in the foundation system. In this study, three RC building systems, i.e. 5, 10, ...

In this paper, semi-analytical method for asymmetrical eccentrically stiffened FGM cylindrical shells under external pressure and surrounded by a linear and non-linear elastic foundation is presented. The proposed linear model is based on two parameter elastic foundation Winkler and Pasternak. According to the von Karman nonlinear equations and the classical plate theory of shells, strain-displ...

Because of their parallelism, functional approXimation and learning capabilities, artificial neural networks can be effectively employed to apjmximate nonlinear functions, and to synthesize controllers for nonlinear dynamic systems. The use of dynamic neural networks to model and control dynamic systems is of great importance in the control paradigm. The intent of this paper is to use one such ...

This paper describes simulation results of a small 500 W wind fuel cell hybrid energy system. The system consists of a Southwest Wind Power Inc. AIR 403 wind turbine, a Proton Exchange Membrane Fuel Cell (PEMFC) and an electrolyzer. Dynamic modeling of various components of this small isolated system is presented. Simulink is used for the dynamic simulation of this nonlinear 48 V hybrid energy ...

This paper presents nonlinear model following control for a class of nonlinear systems using the fuzzy model-based control approach. We propose the construction method of augmented fuzzy control system for continuous-time nonlinear systems by differentiating the original nonlinear system. Moreover, we introduce the dynamic fuzzy controller which can make outputs of the nonlinear system converge...

We extend the notion of dissipative dynamical systems to formalize the concept of the nonlinear analog of strict positive realness and strict bounded realness. In particular, using exponentially weighted system storage functions with appropriate exponentially weighted supply rates, we introduce the concept of exponential dissipativity. The proposed results provide a generalization of the strict...