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The integration of grid-connected renewables is gaining wide spread acceptance nowadays. However, there is profound skepticism about the stability of power systems with high renewable penetration, especially due to their intermittent and “non-dispatchable” nature. One solution to this problem is the application of energy storage. Energy storage devices such as grid-connected batteries could work in...
Levitation controllers have become a litmus test for control algorithms. A new control algorithm that simultaneously optimizes time and frequency performance is applied to a linearized model of a levitation system. It is shown that the resulting control presents superior performances to other controls algorithms applied to the same system.
The problem of composite regulation for shape and gauge of Φ300 mm 4-high reversible cold strip mill with the aid of backup roll and work roll bending is discussed in this paper. A composite regulation model with parameter uncertainties is developed. Then the paper deals with the problem of guaranteed cost control synthesis for uncertain systems. Necessary and sufficient conditions as well as controller...
This paper presents the design, development and implementation of a Hybrid Adaptive Fuzzy Controller (HAFC) suitable for real-time industrial applications. The developed HAFC consists of a weighted combination of the Direct Adaptive Fuzzy Controller (DAFC) and Indirect Adaptive Fuzzy Controller (IAFC) and a gradually activated supervisory controller. The unique feature of the HAFC is that no mathematical...
This paper modeled the evolution of the contagious severity of the stock markets combing with the cross-market correlation coefficients, the market capitalizations and the functions of self-remedy into the time-varying coefficients of the epidemic kinetics model. Then we used the data of United States, Russia, Australia, Brazil, China, India, Hong Kong and Japan during the 2007-2009 stock market crisis...
Research on thruster fault diagnosis of Underwater Robots (URs) is undertaken to improve its whole system reliability. Based on the BP neural network, a recurrent neural network (RNN) is presented and the network training algorithm is deduced. The RNN is trained by voyage head and yaw turning experiments, and the well trained network is applied to model for the URs. Compared the outputs between model...
The problem of approximate optimal rejection to sinusoidal disturbances with zero steady-state error (ZSSE) for nonlinear systems is considered. Based on the internal model principle, a disturbance compensator is constructed through which the plant model with external disturbances is transformed into an augmented nonlinear system without disturbances. Introducing a sensitivity parameter and expanding...
Removal of many organic pollutants including phenolic compounds from industrial wastewater can always be achieved by fixed-bed adsorption onto the polymeric resin adsorbent, and the relevant breakthrough curves would provide much valuable information to help to design a fixed-bed adsorption process in field application. In the present study, a model developed based on the constant-pattern wave approach...
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