technique is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. Two types of controller structures, namely a lead-lag (LL) and a proportional-integral-derivative (PID) are considered. Further, for the optimization of proposed controller parameters, two objective functions namely Integral Square Error (ISE) and Integral of T...

This paper presents a design methodology for two degrees of freedom (2-DOF) observer based controller for the integral processes with dead time. The 2-DOF controller structure facilitates independent design for feedback properties and set point tracking. The feedback controller aims to achieve stability, robustness and disturbance attenuation whereas prefilter design produces satisfactory set p...

Near-infrared spectroscopy along with process control variables, such as integral of airflow rate and the integral of alkali addition rate can be used as the basis for the monitoring of key analyte concentrations on a fermentation process. Within this paper, sequential data fusion modeling is applied first, embracing both physical and chemical information. Aiming to overcome the limitations of ...

Stochastic fractal signals can be characterized by the Hurst coefficient H, which is related to the exponents of various power-law statistics characteristic of these processes. Two techniques widely used to estimate H are spectral analysis and detrended fluctuation analysis (DFA). This paper examines the analytical link between these two measures and shows that they are related through an integ...

This paper presents the implementation of Fractional Order PID controller as a supplementary controller to improve the dynamics of Load Frequency Control in an interconnected Power System. FOPID is a PID controller whose integral and derivative orders are of non-integer rather than integer. The extension of integration and derivative order from integer to fractional order provides more flexibil...

the aim of this work is to investigate the variational discretization and mixed finite element methods for optimal control problem governed by semi linear parabolic equations with integral constraint. the state and co-state are approximated by the lowest order raviart-thomas mixed finite element spaces and the control is not discreted. optimal error estimates in l2 are established for the state...