This paper presents the design of a robust nonlinear adaptive controller for trajectory
tracking maneuvers of the nonminimum phase output voltage on a dc-to-dc “boost” power …

This paper deals with methods for parameter estimation of two-mass mechanical systems in
electric drives. Estimates of mechanical parameters are needed in the start-up of a drive for …

Simulation models of machine tool feed drive are utilized for process planning and
optimization. In order to improve the estimation performance of such models, sophisticated …

This work proposes a new Particle Swarm Optimization (PSO) algorithm specifically
designed for parameter identification of physical systems. The key feature of the proposed …

This paper proposes a new adaptive passivity-based controller (APBC) for hybrid power
sources (HPSs). The HPS considered in this paper consists of a photovoltaic (PV) array, a …

This paper presents a design technique for the delay-based controller called Integral
Retarded (IR), and its applications to velocity control of servo systems. Using spectral …

A proper real-time system identification method is of great importance in order to acquire an
analytical model that sufficiently represents the characteristics of the monitored system …

This work presents a method for anti-chaos control of a servo system affected by parametric
uncertainty and constant disturbances. It is based on Nonlinear Model Reference Adaptive …

Many control schemes rely on an analytical model of the servomechanism to be controlled,
and hence, accurate knowledge about the position-and time-dependent parameter …

Modeling driver steering behavior plays an ever-important role in nowadays automotive
dynamics and control applications. Especially, understanding individuals' steering …