Dynamic analysis and multi-objective optimization of solar and hydrogen energy-based systems for residential applications: A review
This paper examines the potential of solar and hydrogen (H 2) energy-based hybrid energy
systems for residential applications. The growing need for energy and the demand for …
systems for residential applications. The growing need for energy and the demand for …
Coot optimization algorithm-tuned neural network-enhanced PID controllers for robust trajectory tracking of three-link rigid robot manipulator
Robotic manipulators are nonlinear systems, multi-input multi-output, highly coupled and
complicated whose performance is negatively impacted by external disturbances and …
complicated whose performance is negatively impacted by external disturbances and …
MPC control and LQ optimal control of a two-link robot arm: A comparative study
This study examined the control of a planar two-link robot arm. The control approach design
was based on the dynamic model of the robot. The mathematical model of the system was …
was based on the dynamic model of the robot. The mathematical model of the system was …
Performance comparison of control strategies for a variable-thrust solid-propellant rocket motor
This paper deals with a performance comparison of the control algorithm for a variable-thrust
solid-propellant rocket motor (VTSRM). To do this, we develop a simulation model of a …
solid-propellant rocket motor (VTSRM). To do this, we develop a simulation model of a …
Evolving granular feedback linearization: Design, analysis, and applications
Exact feedback linearization is a method for nonlinear control which amounts to cancel the
nonlinearities of a nonlinear system such that the resulting closed-loop dynamics is linear …
nonlinearities of a nonlinear system such that the resulting closed-loop dynamics is linear …
Control of a DC motor using feedback linearization and gray wolf optimization algorithm
The aim of this study is to investigate nonlinear DC motor behavior and to control velocity as
output variable. The linear model is designed, but as it is experimentally verified that it does …
output variable. The linear model is designed, but as it is experimentally verified that it does …
Model predictive control of a two-link robot arm
This paper presents a new approach for a model predictive control dynamics of a two-link
manipulator robot. This technique consists of linearizing a nonlinear dynamic model of the …
manipulator robot. This technique consists of linearizing a nonlinear dynamic model of the …
[PDF][PDF] Design sliding mode modified fuzzy linear controller with application to flexible robot manipulator
M Mirshekaran, F Piltan, Z Esmaeili… - International Journal of …, 2013 - Citeseer
Proportional-Integral-Derivative Sliding Mode Controller (MPIDSMC) control used to control
a flexible manipulator. The control gain in the MPIDSMC controller has been determined in …
a flexible manipulator. The control gain in the MPIDSMC controller has been determined in …
End-effector stabilization of a 10-dof mobile manipulator using nonlinear model predictive control
Motion control of mobile manipulators (a robotic arm mounted on a mobile base) can be
challenging for complex tasks such as material and package handling. In this paper, a task …
challenging for complex tasks such as material and package handling. In this paper, a task …
Evolutionary robotics in two decades: A review
Evolutionary robotics (ER) has emerged as a fast growing field in the last two decades and
has earned the attention of a number of researchers. Principles of biological evolution are …
has earned the attention of a number of researchers. Principles of biological evolution are …