A computer based method to reduce the complexity of the higher order controller, based on the minimization of integral square error (ISE) and Dominant Pole Retention method pertaining to unit step input is presented in this paper. In this order-reduction technique, dominant pole of the higher order plant is retained and reduced order model of the plant is obtained using ISE Minimization Techniq...

Soil roughness is a very important parameter affecting radar backscattering coefficient. This paper wants to introduce a new method to retrieve the combined roughness parameter 2 / Zs s l = on the condition of rough surface. To achieve this goal, two experiments are conducted: (1) Advanced Integral Equation Model (AIEM) is used to simulate backscattering coefficients; and (2) a new algorithm to...

In this paper, we extend the observer/control strategies previously published in [25] to an n-link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the LuGre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adap...

The previous work in [1], Tseng et al. have designed a fractional order differentiator using radial basis function by directly truncating the coefficients to approximate the fractional order derivative Dα of the given digital signal. This paper presents the designing of fractional order differentiator using radial basis function and window. Three design examples are given to illustrate that the...

This paper presents the implementation of HDE algorithm for Concurrent Relay-PID (CRPID) controller for motor position servo systems. CRPID is composed of a deadband relay subcontroller which improves the transient performance and the parallel PID subcontroller which improves the steady state performance of the system. Controller is implemented using modern heuristic tuning techniques which are...

This paper presents an algorithm for order reduction of higher order linear interval system into stable lower order linear interval system by means of Genetic algorithm. In this algorithm the numerator and denominator polynomials are determined by minimizing the Integral square error (ISE) using genetic algorithm (GA). The algorithm is simple, rugged and computer oriented. It is shown that the ...

This paper presents a new strategy for tuning PID controllers based on a fractional reference model. The model is represented as an ideal closed-loop system whose open-loop is given by the Bode’s ideal transfer function. The PID controller parameters are determined by the minimization of the integral square error (ISE) between the time responses of the desired fractional reference model and of ...

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (...

We study linear estimators for the weighted integral of a stochastic process. The process may only be observed on a nite sampling design. The error is deened in mean square sense, and the process is assumed to satisfy Sacks-Ylvisaker regularity conditions of order r 2 N 0. We show that sampling at the quantiles of a particular density already yields asymptotically optimal estimators. Hereby we ...

In recent years, genetic algorithms (GA) and particle swarm optimization (PSO) techniques have attracted considerable attention among various modern heuristic optimization techniques. In this paper PSO is employed for finding stable reduced order models of large-scale linear Interval systems. In this algorithm the numerator and denominator polynomials are determined by minimizing the Integral s...