Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

In this paper, a novel adaptive PID controller for trajectory‐tracking tasks is proposed. It is
implemented in discrete time over a hexacopter, and it takes into consideration the …

This paper considers the distributed coordinated tracking control problems for multiple Euler–
Lagrange systems with nonlinear uncertainties, external disturbances, and communication …

In this paper, we present a novel trajectory tracking algorithm for a four-rotor air vehicle
(quadrotor). The PID controller is developed following an adaptive neuronal technique, and …

Recurrent wavelet neural network (RWNN) has the advantages such as fast learning
property, good generalization capability and information storing ability. With these …

In general, heart medical diagnosis devices are reliable and efficient; however, they are only
present in huge or modern hospitals. Heart murmurs are one of the typical heart problems. In …

Understanding the control of cellular networks consisting of gene and protein interactions
and their emergent properties is a central activity of Systems Biology research. For this …

A new approach for nonlinear system identification and control based on modular neural
networks (MNN) is proposed in this paper. The computational complexity of neural …

The paper proposes a solution to the problem of observer-based adaptive fuzzy control for
MIMO nonlinear dynamical systems (eg robotic manipulators). An adaptive fuzzy controller is …

In this paper, a model-based output feedback recurrent wavelet neural network (RWNN)
controller is proposed for a class of nonlinear MIMO systems with time-varying …