In recent development in the control area, advanced control schemes are well established
for the systems under the influence of parametric uncertainties due to modelling error …

Control systems that ensure robot operation during failures are necessary, particularly when
manipulators are operating in hazardous or hard-to-reach environments. In such …

This paper introduces a new adaptive Kalman filter for nonlinear systems. The proposed
method is an adaptive version of the square-root unscented Kalman filter (Sr-UKF). The …

This paper proposes an active fault-tolerant control (FTC) scheme for robotic manipulators
subject to actuator faults. Its main objective is to mitigate actuator faults and maintain system …

Multibody system dynamics approaches together with state estimation methods can reduce
the need for a large number of sensors, especially in the digital twin of working mobile …

To increase productivity, reduce energy use, and minimize unplanned maintenance,
manufacturers of heavy machinery must instrument their products. As explained in the …

This study introduces a fuzzy based optimal state estimation approach. The new method is
based on two principles: Adaptive Unscented Kalman filter, and Fuzzy Adaptive …

This paper investigates the application, design, and implementation of different adaptive
sigma-point Kalman filters for nonlinear dynamic systems. It is a well-known fact that the …

In this study, a new integral non-singular terminal sliding mode control method for nonlinear
systems is introduced. The proposed controller is designed by defining a new sliding surface …

Due to residual momentum, the space robot is tumbling after capturing an unknown target,
like space debris because of the law of conservation of momentum. Therefore, it is essential …